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Location: İstanbul Office Workplace: Remote OUR STORY Pointr is the market leader in Indoor Mapping, Location and Analytics, and the inventor of AI-based map production. Its innovative (20+ patents) Pointr Maps™ platform is used by millions of users across offices, retail locations, airports, hospitals, and more every month. As the top choice of Fortune 100 customers and billions of sqft. deployed globally (30+ countries), Pointr is always on the lookout for great team members to support its fast growth. Our core values are Ownership, Harmony, and Scale, and we look for Passionate, Kind, and No-Ego team members to join the team. ROLE OVERVIEW We're looking for a Sr. R&D Engineer to join the Location team and improve the positioning engine behind Pointr's blue dot offering, used in airports, hospitals, and corporate campuses. The engine turns noisy real-world sensor data into a reliable location estimate, indoors and outdoors. It runs primarily on iOS and Android, with the shared C++ core also supporting WebAssembly and backend services. You will take algorithm improvements from research through implementation, validation on real venue data, and release. The work spans probabilistic estimation, sensor fusion, and applied geometry, including the native mobile scanning code that supplies the engine's measurements. You'll join a small, senior team with ownership over technical decisions and a short path from experiments to customer deployments. WHAT YOU'LL DO - Improve the accuracy, responsiveness, and robustness of Pointr's indoor-outdoor positioning algorithms across a wide range of venue types, devices, and real-world conditions. - Research, develop, and evaluate positioning algorithms, spanning classical estimation and machine learning approaches, and measure whether they improve results on real venue data. - Research and investigate emerging positioning technologies. Some work involves development kits, reference hardware, and measurement setups for capabilities not yet available on shipping phones. - Build and use offline replay, accuracy regression suites, and simulation tools to measure improvements. Validate on real iOS and Android devices, where sensor behavior and runtime constraints can differ from desktop results. - Develop production code in the shared C++ engine and the native iOS and Android sensor and radio scanning layers, with attention to performance, memory use, thread safety, and test coverage. - Turn field issues, such as suboptimal hardware deployments or unexpected sensor behavior, into reproducible test cases and engine improvements. - Use AI coding agents daily for research and development, and take responsibility for reviewing and validating their output. - Shape technical decisions through experiments and code review. Document the reasoning behind your work and contribute invention disclosures where warranted. WHAT SUCCESS LOOKS LIKE - First 90 days: independently run and interpret the accuracy measurement tools, and ship your first engine improvement with tests and on-device validation. - 6 months: own a significant area of the engine, deliver measurable positioning improvements, and diagnose field issues from customer venues. - 12 months: set technical direction and measurement standards for your area, with improvements deployed at customer scale. Help the team develop and validate algorithms more effectively through reviews and better tooling. WHAT WE SEEK - 6+ years of professional software engineering experience, including performance-sensitive production code. Depth in algorithms and estimation matters more than your current programming language; prior C++ experience is preferred, not required. - Strong grounding in probabilistic state estimation and sensor fusion, including recursive Bayesian filtering and particle-based methods, with the judgment to choose an approach suited to the problem. - Solid applied mathematics, including linear algebra, probability, numerical methods, and geometry. You can distinguish model limitations from data quality problems. - Experience working with noisy, real-world sensor time series: reproducing issues from recorded traces, isolating causes, and validating changes with measurable results and automated tests. - Daily use of AI coding agents and a basic understanding of how they work, including context windows, tool use, prompting, instruction files, and common failure modes. You can direct agents effectively and critically review their output. - Working knowledge of iOS or Android development, enough to build and debug on real devices and modify native platform code. - Comfort with native development tools, including build systems, Git, compilers, sanitizers, and profilers, and with cross-platform constraints. - Clear technical communication with engineers and non-engineers, and a collaborative approach to technical disagreements and code review. - Professional fluency in English, both written and spoken. PREFERRED QUALIFICATIONS - Experience in indoor positioning, GNSS, robotics, SLAM, pedestrian dead reckoning, or RF signal processing. - Hands-on experience with Claude Code or OpenAI Codex; other AI coding agents also qualify. Experience building agent tools or integrations is a plus. - Experience with modern C++, Swift, or Kotlin, or shipping a shared native core in iOS and Android apps. - Familiarity with mobile constraints that affect positioning, including background execution, sensor and radio scanning APIs, power budgets, and device differences. - Knowledge of ranging and positioning methods used with radio technologies such as BLE, UWB, or Wi-Fi. - Experience with computational geometry, geospatial data, or map processing. Wayfinding and graph algorithms are useful secondary skills. - Experience applying machine learning to motion or signal models, with evidence that it improves on classical estimation methods. - Experience building simulation or visualization tools for algorithm development. - An MS or PhD in a relevant field, research publications, or equivalent demonstrated depth in positioning, estimation, or spatial algorithms. WHAT WE OFFER - A supportive, kind (no-ego), and smart team - International environment and inclusive culture - Competitive base salary and stock options, based on experience and market - Private supplementary health insurance, in addition to statutory SGK coverage - Paid annual leave under Turkish Labor Law (14 days/year for years 1–5 of service, rising with tenure), plus 5 additional paid days in your first year as a Pointr benefit - Official public holidays as set by the Turkish government (approximately 15 days in 2026, including national holidays and the Ramadan and Sacrifice Feast holidays) - Paid sick leave with a doctor's report, per Turkish Labor Law - 24 weeks of paid maternity leave (state-paid) and up to 6 weeks of paid paternity leave, topped up by Pointr Bilişim above the statutory minimum - Mandatory SGK social security contributions Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us. HOW WE USE YOUR DATA Pointr Bilişim A.Ş. processes the personal data you submit as part of your application in accordance with Turkey's Personal Data Protection Law No. 6698 (KVKK), solely to assess your candidacy and manage recruitment. Our full candidate clarification notice (Aydınlatma Metni) is available upon request. #LI-REMOTE Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us.   WE SUCCEED TOGETHER Great outcomes happen when talented, diverse people come together with a shared purpose. We value empathy, humility, and expertise, and we believe the best ideas come from collaboration, thoughtful challenges, and open feedback. We empower our teams with clear goals and ownership, creating an environment where everyone can contribute, grow, and succeed. We take responsibility for our individual and collective development, celebrate our progress, learn from our experiences, and recognize the impact we create together. We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do. We are committed to providing an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please reach out to your recruiter or contact our team at hiring@pointr.tech hiring@pointr.tech. A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team. On our end, we utilize a platform called Granola as a notetaker and review tool to ensure a fair and transparent hiring process. Beware of scammers! All legitimate communication from Pointr regarding your application will come directly from an @pointr.tech http://pointr.tech email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.

Location: Turkey FREEDOM FINANCE TECHNOLOGIES is a Cyprus-based fintech company and part of the international financial holding Freedom Finance. We develop and maintain trading and banking IT products, as well as the holding’s IT infrastructure worldwide. Our team currently consists of 170 professionals.  Over the past three years, we have grown fourfold and continue to actively expand our team. Since 2009, we have been developing our core product - a trading system for brokerage operations in the stock market. More than 700,000 users across 41 countries use our applications. We are looking for a VMware Virtualization Engineer to strengthen our Virtualization and Network Infrastructure team. Key Responsibilities: Operate and develop production virtualization infrastructure based on VMware vSphere (ESXi, vCenter). Support high-availability virtualization clusters and participate in incident resolution. Analyze and resolve technical issues related to hypervisor performance, network infrastructure, and storage systems. Work with storage systems using Fibre Channel and iSCSI. Collaborate with the network infrastructure team to ensure the proper operation of the virtualization environment. Participate in the installation, connection, and commissioning of server hardware. Operate server remote management systems (iDRAC and similar tools). Take part in infrastructure modernization, migration, and testing projects. Requirements Experience administering VMware vSphere in a production environment. Understanding of VMware architecture, including the ESXi scheduler, NUMA architecture, memory management, and storage subsystem. Experience working with storage systems: Fibre Channel zoning, multipathing, latency, and performance analysis. Knowledge of networking technologies required for virtualization operations: VLANs, trunks, LACP, MTU/jumbo frames, and basic L2/L3 principles. Understanding of KVM virtualization principles and architectural differences from VMware. Experience working with enterprise-grade server hardware (Dell, Supermicro, or similar). Experience with server remote management systems (iDRAC), including remote access, firmware updates, and basic hardware diagnostics. Strong independent troubleshooting and technical problem-solving skills. Native Russian Benefits Fully remote work. Daytime and evening working hours according to the Moscow time zone. A service contract with a Cyprus-based company. Fixed monthly salary in euros. Paid annual leave of 21 working days. Paid sick leave. Public holidays: New Year holidays until January 4–6, plus May 1–2 or May 8–9. One additional paid day off per month. Coverage of professional training courses related to your area of work. Coverage of participation in professional online conferences. Training on products and processes. A genuinely comfortable and professional working environment. Opportunities to grow and develop alongside the company and its products.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering. In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise. Key Responsibilities Production MLOps & Systems Architecture Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring. Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments. Process Engineering & Manufacturing ML Integration Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems. Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases. Scalable Inference & System Integration Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications. Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow). Technical Leadership & Domain Alignment Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions. Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling. Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn. MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime. Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure). Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines. Domain Competency (Scientific & Process Focus) Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials. What This Role Is NOT Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code. Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits at the critical intersection of scientific research informatics, clinical data systems, and manufacturing process engineering. In this position, you will own the architectural vision and hands-on execution of scalable data platforms and pipelines. You will bridge complex data domains—from small and large molecule research, genomics, and clinical trial datasets to active pharmaceutical ingredient (API) manufacturing processes, batch data, and industrial control systems. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, clinical scientists, and platform teams to build high-performance data infrastructure that accelerates drug discovery and manufacturing operations. Key Responsibilities Scientific & Clinical Data Platform Architecture Design, build, and maintain production-grade data pipelines and architecture tailored for scientific, clinical trial, and research informatics data (small/large molecule, genomics, proteomics, LIMS). Structure complex, multi-modal clinical and scientific datasets to enable advanced analytics, enterprise reporting, and downstream machine learning models. Process Engineering & Manufacturing Integration Ingest, harmonize, and model operational technology (OT) and manufacturing process datasets, including API manufacturing pipelines, batch processing data, MES, SCADA, and OSIsoft PI systems. Unify disparate laboratory and facility data pipelines into centralized, highly available enterprise data platforms. Enterprise Data Engineering & Compliance Build robust ETL/ELT pipelines using modern cloud platforms (Databricks, Snowflake, AWS/Azure), PySpark, and SQL. Ensure all data pipelines and platform integrations strictly adhere to enterprise governance, data residency, and GxP regulatory standards within a heavily monitored environment. Technical Leadership & Domain Alignment Partner directly with process engineers, chemical engineering leads, and research informatics directors to translate operational friction into robust technical specifications. Establish engineering best practices, data modeling standards, and pipeline monitoring frameworks across the enterprise data stack. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software development, data platform architecture, and complex ETL/ELT engineering. Domain Adaptability: Demonstrated ability to engineer data pipelines across non-standard, highly specialized domains (e.g., transition between process/chemical engineering data and clinical/scientific research informatics). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Exceptional problem-solving mindset, strong adaptability, and the ability to articulate complex technical architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, PySpark, and expert-level SQL. Data Platforms: Hands-on expertise with Databricks, Snowflake, or AWS/Azure enterprise data ecosystems. Orchestration & ETL: Extensive experience with Airflow, dbt, Spark, and enterprise data orchestration engines. Data Pipelines: Proven track record building streaming and batch data architectures via REST APIs, message brokers, and database integrations. Domain Competency (Scientific & Process Focus) Deep exposure to either scientific/clinical informatics (CDISC/SDTM, LIMS, clinical trials, multi-omics) OR chemical/process engineering data (API manufacturing, batch data, SCADA, MES, OSIsoft PI). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience working inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: Databricks Certified Data Engineer Senior/Professional, Snowflake SnowPro Core/Advanced, or AWS Data Engineer Associate/Professional. What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be building or training machine learning models; you are designing and scaling the underlying data architecture, pipelines, and platform infrastructure. Not a non-coding Architect: This is a 100% hands-on engineering lead role requiring direct pipeline construction and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: Basel, Switzerland D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Tasks and Responsibilities Act as the main point of contact for end users with IT related issues, requests or questions Occasionally provide meeting and conferencing support to the top-level management in a corporate environment Carry out tasks related to IMAC requests (install, move, add and change IT equipment) Thorough documentation of all end user interactions in the ITSM system (ticketing tool) Actively contribute to the knowledge database Resolve software, hardware and device issues reported by the end users Support the troubleshooting of connectivity issues and network elements including ISP circuits, firewalls, network switches, wireless equipment and telephony system Remote access solution (VPN) implementation and support Escalate service issues when required Communication with end users as required, keeping them informed of ticket progress Advise and train staff on computer operations and software applications Requirements Good understanding of Information Technology; trends, products and solutions 1+ years’ experience in a similar position supporting a variety of technologies and services In depth knowledge of: Windows OS (Windows 7 & 10) Microsoft Office & Office 365 applications PC\Laptop hardware PC\Laptop peripherals, including printers Mobile devices Basic knowledge of Active Directory Exchange ITIL certification is an advantage Highly self-motivated and directed with a keen attention to detail Customer focused with a passion and drive for customer satisfaction and delivering business values A service-oriented mindset and always striving to deliver on tasks and projects Ability to work independently as well as willing to follow directions and best practices Great communication and interpersonal skills Fluent German and English (written and spoken) communication skills Friendly, supportive and flexible personality with quick learning ability Good team player with planning and organizing skills & multi-task Candidates have to declare Criminal record extract not older than 3 months Benefits Broad range of activities, tasks, and projects Flexible working conditions Vouchers (B-day voucher, wedding, and new born surprise) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

Location: Dubai, United Arab Emirates M1 CONSTRUCTION L.L.C is seeking a qualified Structural Engineer to join our engineering team. The successful candidate will be responsible for assisting in the design, analysis, and supervision of structural elements in construction projects to ensure safety, reliability, and compliance with industry standards. Key Responsibilities: Assist in structural design calculations and prepare design drawings for various projects. Review and interpret engineering documents, plans, and specifications. Collaborate closely with architects, contractors, and project managers to ensure integrated project execution. Conduct site visits to monitor construction activities and ensure compliance with design specifications. Support preparation of technical reports and project documentation. Assist in resolving any technical issues related to structural engineering during construction. Requirements Bachelor’s Degree in Civil or Structural Engineering. Minimum 3 years of experience in structural engineering roles, preferably within the UAE construction industry. Knowledge of local building codes, regulations, and standards. Proficiency in structural analysis and design software such as STAAD Pro, ETABS, or equivalent. Strong skills in AutoCAD and other drafting tools. Good communication and teamwork abilities. Benefits - Visa provided - Health Insurance provided - Competitive salary

Location: Dubai, United Arab Emirates We are looking for an experienced Senior Planning Engineer to join our luxury construction team. The ideal candidate will have strong experience in planning and project controls within high-end construction projects, with a proven track record of managing project schedules, monitoring progress, and coordinating with multiple stakeholders. Previous experience working specifically as a Senior Planning Engineer in UAE is mandatory. Key Responsibilities Develop, maintain, and monitor detailed project schedules from project commencement through completion. Prepare baseline programmes, recovery programmes, look-ahead schedules, and progress updates. Monitor project progress against approved schedules and identify delays, risks, and potential impacts. Prepare regular progress reports, dashboards, and schedule updates for management. Coordinate with project managers, site teams, consultants, subcontractors, and other stakeholders. Analyse project performance and provide recommendations for corrective and preventive actions. Track critical path activities and ensure timely execution of key milestones. Conduct delay analysis and assist in developing mitigation and recovery plans. Review contractor and subcontractor programmes and ensure alignment with project objectives. Monitor planned vs. actual progress and maintain accurate project records. Participate in project planning meetings and provide updates on programme status. Support resource planning, productivity monitoring, and forecasting. Ensure planning and reporting processes are aligned with project requirements and company standards. Requirements Bachelor's degree in Civil Engineering, Construction Management, or a related field. Proven experience in planning and project controls within the construction industry. Previous experience specifically serving as a Senior Planning Engineer is mandatory. Experience working on luxury, high-end residential, hospitality, commercial, or premium construction projects is highly preferred. Strong knowledge of construction planning, scheduling, and project controls. Advanced proficiency in Primavera P6 is mandatory. Strong knowledge of project scheduling, progress measurement, critical path analysis, and delay analysis. Excellent understanding of construction methodologies and project execution. Strong analytical, organisational, and reporting skills. Ability to manage multiple priorities and work effectively with project teams and stakeholders. Strong communication and coordination skills. Benefits Opportunity to work on high-end luxury construction projects. Professional and collaborative working environment. Exposure to premium and technically demanding projects. Competitive compensation package based on experience and qualifications. Career growth opportunities within the organization.

Задачи: — проводить аналитику и мониторинг работы моделей — собирать и подготавливать данные, последующий EDA, feature engineering — разрабатывать новые ML-модели — оптимизировать скрипты data/model/inference pipelines — подготавливать код проекта к проду, подготавливать, дизайнить и проводить АБ-тесты. Требования: — высшее образование по техническому направлению — от года релевантного опыта в ML — прочный математический фундамент (понимание градиентного спуска, характеристик основных распределений, PCA, МНК, базовые статистические тесты проверки гипотез) — умение и желание писать код на Python, оптимизировать его, разбираться в чужом коде, понимание SQL — владение основными библиотеками для анализа данных: pandas, numpy, scipy, matplotlib, statmodels — глубокое понимание основных алгоритмов классического ML (линейная/логистическая регрессия, деревья решений, ансамбли), базовые знания по DL (основные архитектуры, тонкости обучения) — владение основными фреймворками для ML/DL: sklearn, pytorch, transformers и др. Будет плюсом: — интерес к методам ML в задачах ценообразования и финансах — изучение Reinforcement Learning, multi-arms bandits — чтение статей по современным решениям для работы с последовательностями. Условия: — комфортный современный офис рядом с м. Кутузовская — гибридный формат работы — ежегодный пересмотр зарплаты, квартальная и годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета — программа адаптации и помощь руководителя на старте (для Junior) — расширенный ДМС, льготное страхование для семьи, корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Требования: — Степень бакалавра или магистра в области электронной инженерии или смежной области — Опыт стажировки от 6 месяцев до 1 года

Location: Dallas, TX; Fort Worth, TX; Kansas City, MO; North Kansas City, MO; Oklahoma City, OK; Omaha, NE; Remote; Tulsa, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Are you an experienced Mechanical Engineer with a passion for designing innovative solutions in the healthcare sector? As a Senior Mechanical Engineer on Olsson's Facilities Engineering and Design Team, you’ll provide high-level technical support and lead quality assurance/quality control (QA/QC) activities that drive excellence in healthcare facilities design. In this role, you’ll apply your expertise to independently make recommendations and decisions that enhance the design and functionality of healthcare environments. You’ll work on complex projects, develop unique solutions, and ensure that our designs meet the highest standards of quality and efficiency. Primary responsibilities: Lead the design and review of mechanical systems for complex healthcare facilities projects. Serve as a technical specialist, applying advanced mechanical engineering concepts to address the unique challenges of healthcare environments. Perform QA/QC and ensure that mechanical designs meet project objectives and regulatory standards. Conduct research to inform innovative design solutions that improve patient care and operational efficiency. Advise and direct staff on mechanical design approaches to meet project requirements and client expectations. Collaborate with multidisciplinary teams to integrate mechanical systems seamlessly into overall project designs. Contribute to the development of standards and guidelines for mechanical engineering activities within the team. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills. Proven ability to collaborate effectively within a team. Excellent interpersonal and problem-solving abilities. Bachelor’s degree in Mechanical Engineering. Registered Professional Engineer (PE) license. At least 8 years of mechanical engineering experience with increasing responsibility, preferably in healthcare facilities design. Healthcare-related certifications such as ASHRAE Healthcare Facilities Design Professional (HFDP), ASSE 6060 Medical Gas Systems Designer, and/or ASSE 12080 Certified Legionella Water Safety & Management Specialist are a plus. Membership in a state or national chapter of the American Society of Healthcare Engineers (ASHE) or equivalent is advantageous. Experience with National Codes/Standards development and participation in relevant committees is highly preferred. Healthcare-related certifications, such as Certified Healthcare Constructor (CHC) or Healthcare Physical Environment Worker, are a plus. Demonstrated expertise in leading complex mechanical design projects and providing technical leadership within a team. Enthusiasm for advancing the healthcare industry through innovative and reliable mechanical engineering solutions. #LI-RS1 #LI-Hybrid The typical annual salary range for this role is as listed below. Compensation may vary based on geographic location, experience, and qualifications. Employees in this role may be eligible for our performance‑based bonus and merit increases. National Pay Range $106,000 — $218,000 USD Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Fort Worth, TX; Kansas City, MO; North Kansas City, MO; Oklahoma City, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Are you a licensed Mechanical Engineer with a passion for designing innovative solutions in the healthcare sector? As a Mechanical Engineer on Olsson's Facilities Engineering and Design team, you’ll perform standard engineering techniques and procedures, applying sound judgment to make minor adaptations and modifications. In this role, you’ll contribute to generating ideas and creating designs that meet the highest standards of quality and efficiency for healthcare facilities. Primary responsibilities: Perform various engineering duties related to evaluating, designing, and constructing plans for small to large-sized healthcare projects. Assist in preparing project documents and maintain knowledge of project scope, schedule, and budget. Conduct process design calculations, analyze reports, and prepare cost estimates to assess project feasibility. Apply knowledge and experience with standard techniques, methods, and procedures to assist with coordination of project design aspects. Communicate project development and progress with project managers and clients. Enter and maintain project information and client records in the firm’s project management system. Evaluate and propose adaptations to standard methods and procedures for components of assignments. Provide technical guidance and mentorship to less experienced team members when necessary. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills. Ability to collaborate effectively within a team. Excellent interpersonal and problem-solving abilities. Bachelor’s degree in Mechanical Engineering. Registered Professional Engineer (PE) license. A minimum of 4 years of mechanical engineering experience, with at least 2 years specifically in designing for healthcare projects. Enthusiasm for contributing to the healthcare industry through innovative and reliable mechanical engineering solutions. Healthcare-related certifications such as ASHRAE Healthcare Facilities Design Professional (HFDP), ASSE 6060 Medical Gas Systems Designer, ASSE 12080 Certified Legionella Water Safety & Management Specialist, Certified Healthcare Constructor (CHC), and/or Healthcare Physical Environment Worker, are a plus. #LI-DNP #LI-Hybrid Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Задачи: — Обеспечение надежности, масштабируемости и производительности распределенной инфраструктуры ZK-сопроцессоров. — Управление парком блокчейн-нод (RPC, Validators) и специализированных Prover-нод в мультичейн среде. — Автоматизация процессов развертывания и управления инфраструктурой (IaC) с использованием Terraform / Pulumi. — Глубокий мониторинг и алертинг (Prometheus, Grafana, VictoriaMetrics) с фокусом на специфические метрики блокчейна и прувинга. — Оптимизация производительности систем (Performance Tuning) и работа над минимизацией сетевых задержек (low-latency). — Управление инцидентами, проведение Post-mortem анализа и разработка мер по предотвращению повторных сбоев. — Внедрение и развитие практик GitOps и CI/CD пайплайнов для инфраструктурных и прикладных сервисов. Требования: — Опыт работы в роли SRE или DevOps Engineer от 4-5 лет. — Экспертное владение Kubernetes (управление кластерами, написание Helm чартов / Operator SDK). — Глубокие знания Linux internals, сетевых протоколов и безопасности. — Опыт работы с облачными провайдерами (AWS — основной, GCP/Azure). — Уверенное владение Python или Go для написания инструментов автоматизации. — Практический опыт работы с инструментами IaC (Terraform). — Английский язык: Upper-Intermediate (свободная коммуникация в международной команде). Будет плюсом: — Опыт эксплуатации блокчейн-инфраструктуры (Ethereum, L2s, Solana). — Понимание специфики работы ZK-Rollups или систем с интенсивными вычислениями (GPU/FPGA acceleration). — Опыт работы с инструментами распределенной трассировки (Jaeger / Tempo).

Задачи: — Разбирать и обрабатывать документы в форматах Excel, PDF и сканы. — Извлекать табличные данные из документов. — Нормализовать даты, номера документов, суммы и другие поля. — Проектировать и реализовывать логику сопоставления данных. — Выявлять расхождения между двумя источниками. — Обрабатывать сложные кейсы: разные периоды, отличающиеся номера, частичные совпадения и другие неоднозначные ситуации. — Интегрировать OCR и Document AI-инструменты. — При необходимости использовать LLM для интерпретации и формирования человекочитаемых объяснений. — Разрабатывать backend/API для сервиса. — Участвовать в проектировании архитектуры MVP. — Работать с реальными обезличенными финансовыми документами и тестировать качество решения на исторических данных. Требования: — Коммерческий опыт разработки на Python от 3 лет. — Уверенное владение Python. — Опыт работы с pandas и табличными данными. — Опыт обработки Excel / CSV. — Опыт парсинга PDF. — Опыт разработки backend-сервисов и REST API. — Понимание алгоритмов сопоставления, нормализации и очистки данных. — Умение проектировать решение самостоятельно, а не только работать по готовому ТЗ. — Опыт работы с Git. Будет большим плюсом: — Опыт с OCR: Tesseract, PaddleOCR или аналогами. — Опыт с PyMuPDF, pdfplumber, Camelot, Tabula. — Опыт с fuzzy matching. — Опыт работы с Document AI / Intelligent Document Processing. — Интеграция LLM API: OpenAI, Azure OpenAI, YandexGPT или аналогов. — Опыт разработки систем reconciliation / data matching. — Опыт работы с финансовыми, бухгалтерскими или другими структурированными документами. — Опыт On-Premise решений. — Опыт построения решений, где нужно сочетать детерминированную бизнес-логику и AI. Что здесь не требуется: — Классический Data Scientist и обучение собственных ML-моделей с нуля. — В проекте важнее: сильная прикладная Python-разработка; работа с документами и данными; построение надежной логики сопоставления; понимание, где действительно нужен AI, а где лучше использовать обычные алгоритмы. О проекте: — На первом этапе планируется разработка MVP без глубокой интеграции с внутренними учетными системами. — Базовый сценарий: пользователь загружает акт сверки и внутреннюю выгрузку, система извлекает и нормализует данные, выполняет сопоставление, показывает совпадения и расхождения, формирует структурированный результат для пользователя. — Ожидаемый результат — рабочий прототип, который можно проверить на реальных исторических данных. Условия: — Удалённая работа. — Проектная занятость / аутстафф. — Возможна полная или частичная загрузка — обсуждается индивидуально. — Проект стартует с этапа MVP, с возможностью продолжения. — Работа в составе небольшой проектной команды. — Ожидаемый уровень Middle+ / Senior. — Специалист должен самостоятельно разобраться в предметной области, предложить техническое решение и довести его до рабочего результата. Будет преимуществом в отклике: — Опыт похожих задач: обработка документов; OCR; reconciliation / matching; financial data processing; Document AI; LLM-интеграции. — Указание текущей доступности, возможной загрузки в часах в месяц, часовой ставки, формата работы: ИП / самозанятый / другой.

О проекте: Мы строим Customer Intelligence & Personalization Platform для зарубежной экосистемы бизнесов. Задачи: — Принимать технические решения и самостоятельно реализовывать ключевые части платформы. — Владеть архитектурой и развитием Data Core. — Проектировать слои Bronze / Silver / Gold и модели данных. — Исследовать банковские, legacy- и внешние источники, восстанавливать их семантику. — Строить pipelines от raw-данных до подготовленных data products. — Разрабатывать трансформации на SQL / dbt / Python. — Определять инженерные стандарты для ELT, data modelling, metadata, lineage и data quality. — Развивать data catalog и metadata-as-code подход. — Проектировать data contracts и интеграции Data Core с другими компонентами. — Переводить исследовательские решения и ручные процессы в production. — Работать с Git, CI/CD, Docker, Linux и закрытыми Dev/UAT-контурами. — Взаимодействовать с инженерами и data scientist в команде. Требования: — Опыт работы Lead / Staff / Principal Data Engineer или сильного Senior с архитектурным ownership. — Опыт проектирования и самостоятельной реализации data platform / DWH / Lakehouse. — Знания Core banking / legacy banking systems. — Опыт с Customer 360 / Golden Record / MDM. — Сильный SQL и уверенный Python. — Опыт работы с dbt или аналогичными transformation frameworks. — Опыт работы с Airflow / Dagster / Prefect или аналогами. — Хорошее понимание data modelling, historization, grain и master entities. — Практический опыт data quality, lineage и metadata management. — Знание Data Vault 2.0. — Опыт работы с OpenMetadata или другими data catalog solutions. — Умение самостоятельно принимать технические решения и отвечать за результат. — Опыт работы с плохо документированными источниками. — Навыки работы с Git, CI/CD, Docker, Linux. — Практический AI-native способ разработки. Условия: — Оформление: ИП. — Формат работы: полная занятость. — Локация: Ереван либо готовность к регулярным командировкам (до 2 раз в месяц на несколько дней) в Ереван для работы с данными и специалистами заказчика. — Уровень дохода обсуждается индивидуально.

Задачи: — Построить с нуля переиспользуемое ядро продукта: документы → граф знаний → гибридный поиск → ответ со ссылкой на пункт и статусом редакции. — Отвечать за архитектуру и разработку. — Первая цель — MVP. Обязанности: — Архитектура ядра. — Работа с данными. — Резолвинг перекрёстных ссылок, версионность и статусы актуальности документов. — Hybrid retrieval. — Graph RAG. — Evaluation. — Поставка. — Техлидерство. Требования: — 5+ лет backend-разработки на Python, из них 2+ года с LLM/RAG в продакшене (в идеале). — Графовые базы данных, моделирование онтологий. — Векторные базы данных, гибридный поиск, реранкинг. — LLM. — Опыт поставки в закрытые контуры. — Опыт руководства. Плюсом: — GraphRAG, entity extraction/resolution. — Внедрения в промышленности или проектных институтах. — React/TypeScript для интерфейса и админки. Условия: — Удалённая работа по России. — Гибкий график: 5/2 с 10:00 до 19:00 по Москве, с возможностью подстроить часы работы. — Клубы по интересам, летний выезд на природу AGIMA Camp, корпоративные вечеринки с возможностью приглашать семью. — Поддержка в создании личного бренда для профессионального роста. — Бесплатные билеты на забег для IT-специалистов RUNIT. — ДМС со стоматологией. — Оформление по ГПХ с физлицом.

About KPI Solutions: KPI Solutions is a national supply chain consulting and warehouse automation systems integrator, formed in 2021 by merging Kuecker Logistics Group, PULSE Integration, and QC Software. The company specializes in material handling integration and delivers engineered solutions combining automated technologies (MHE, robotics, conveyor, ASRS, AMR/AGV) with intelligent warehouse execution software to optimize productivity and fulfillment speed. Position Summary: The Software Deployment Engineer I/II is an individual contributor responsible for end-to-end delivery, configuration, installation, and support of Kommand warehouse execution/control systems and related material handling hardware such as pick-to-light, overhead illuminators, AutoStore, and T-sort integrations. The role includes project-level system configuration, commissioning, installation, upgrades, and live troubleshooting independently across on-site and remote/office phases. This role consolidates hardware installation and commissioning functions previously done by a dedicated Systems Integration & Commissioning team. Key Responsibilities: On-Site Delivery: — Lead software commissioning of Kommand and peripheral hardware systems at customer sites as primary technical owner. — Full-scope installation of pick-to-light and overhead illuminator systems including wiring, physical installation, configuration, and functional testing. — Conduct Installation Qualification (IQ) and User Acceptance Testing (UAT) with formal documentation and customer sign-off. — Sole owner of Kommand and system-level troubleshooting for live production issues during on-site engagements. Remote / Office Delivery: — Independently deliver new Kommand installations including application pre-configuration, database scripting, and pre-deployment testing. — Deliver Kommand version upgrades including SSDT schema comparisons, version control, local pre-install testing, and customer coordination. — Perform production upgrade execution after business hours to minimize downtime. — Work on DEV, QA, and Sandbox environments during business hours. — Validate, diagnose, and remediate defects, escalating rarely. — Participate in on-call rotation covering Kommand, AutoStore, and T-sort system escalations. — Provide post-go-live support including system migrations, integration testing with ERP/WMS platforms (e.g., SAP/WMS), and multi-site rollout support. Project Configuration & Deployment: — Gather Kommand configurations and system parameters for projects. — Translate Business Requirements Document and customer conversations into system settings, network spreadsheets, and parameters. — Educate clients on host interface use. — Configure Kommand sandbox and production environments for customer testing and go-live. — Assist with training on new features. Scope & Independence: — Sole owner of critical workstreams including new installations, upgrades, and live troubleshooting. — Requires judgment and technical depth to manage customer-facing delivery, testing, and sign-off without dedicated support. Requirements: — Experience commissioning warehouse execution/control software and hardware peripherals. — Working knowledge of SQL Server environments including SSDT schema comparison and version control. — Experience with formal software testing methodologies (IQ/UAT) including documentation and customer sign-off. — Ability to diagnose, troubleshoot, and resolve live production issues under time pressure. — Comfort or willingness to perform hands-on installation work for pick-to-light and overhead illumination systems. — Willingness to work after hours and participate in on-call rotation. — Ability to translate business requirements into structured system configuration. — Strong customer-facing communication skills. Preferred Qualifications: — Experience with AutoStore and/or T-sort systems. — Experience with ERP/WMS integration testing (e.g., SAP). — Background in material handling, warehouse automation, or industrial controls. What we Offer: — Medical, Dental, Vision Insurance — Health Care Concierge Service — 401(k) Retirement Plan (Pre-tax & Roth) — Company paid Basic Life Insurance, Short-Term and Long-Term Disability — Voluntary Life & AD&D Insurance — Voluntary Accident, Critical Illness & Hospital Indemnity Insurance — Pet Insurance — Milk Stork Program — Wellness Program with gift card redemption and challenges — Paid Time Off (Vacation, Sick & 10 Holidays) — Training & Development Equal Employment Opportunity statement included.

Требуется технический руководитель (Hands-on CTO / Head of Engineering). Требуемые навыки: опыт работы с C#. Возможна удалённая работа. Полный рабочий день.

Требования: — В настоящее время обучаетесь на бакалавриате по направлениям ECE, EE Computer Engineering, CSE или смежным.