Location: Москва
Мы — команда ПКАП AEF, развивающая платформу данных внутри AEF (Agent Execution Framework — среды исполнения и управления AI-агентами в контуре банка), которая получает и обрабатывает трейсы работы агентов, формирует витрины для мониторинга, оценки качества и развития AI-агентов, а также для команд разработки, аналитики и внутренних потребителей Банка. Ищем инженера данных, умеющего доводить решения до промышленной эксплуатации и готового отвечать за их работу после запуска.
Обязанности
* разрабатывать и выводить в ПРОМ витрины на SQL, Spark, Scala.
* разрабатывать сервисы для обработки и поставки данных.
* готовить данные для исследований в лабораторном контуре: работать с трейсами, техническими показателями и метриками AI-агентов.
* сопровождать витрины: анализировать логи и метрики, находить причины сбоев, устранять их и предотвращать повторение.
* разрабатывать проверки качества данных и тестировать расчёты
* поддерживать техническую документацию и базу знаний, консультировать внутренние команды по составу и использованию данных.
Требования
* опыт в data engineering от 3х лет
* практический опыт разработки на PySpark или Spark
* опыт разработки на Python или Scala
* уверенное знание SQL (сложные запросы, оптимизация)
* практический опыт работы с Hadoop, включая HDFS, YARN и Hive.
* понимание устройства хранилищ данных, принципов построения витрин и организации потоков данных от источника до потребителя.
* опыт вывода расчётов или сервисов в промышленную среду: Git, CI/CD, тестирование, диагностика сбоев по логам и метрикам.
* знание и регулярное использование LLM-инструментов для инженерных задач. Важно уметь оценивать их ответы и самостоятельно отвечать за качество итогового решения.
Условия
* комфортный, современный офис м. Кутузовская
* возможность выбрать удобный график – офис/гибрид
* ежегодный пересмотр зарплаты, годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* программа адаптации и помощь руководителя на старте (для Junior позиций)
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* льготная ипотека для каждого сотрудника
* бесплатная подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
* корпоративная пенсионная программа
* отсутствие строгого дресс-кода.
Москва
JКомпания не указана
45
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
You will be helping build a video-processing pipeline, picking up well-scoped tasks and delivering them at pace. • Hands-on experience with FFmpeg and video/image processing.
УдалённоГеография найма не уточнена
JКомпания не указана
51
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
- Strong hands-on experience with Databricks, especially Databricks Jobs. - Advanced Python skills, writing notebooks daily from ingestion to the gold layer.
Location: Hybrid - San Francisco, New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Machine Learning Engineer on our Trust & Safety Engineering team to build and operate the production systems that detect and stop abuse on the platform at internet scale. This is an engineering-first role, roughly 80% writing and shipping production code (services, pipelines, and infrastructure) and 20% modeling, taking detection and classification approaches from prototype to hardened systems. This is a hybrid role based in San Francisco or New York City, with three days a week in the office.
What you’ll do
Design, build, and operate production systems that detect and disrupt abusive behavior across the platform, with an emphasis on reliability, scalability, and observability
Build and maintain machine learning (ML) infrastructure, including training pipelines, feature pipelines, serving infrastructure, and evaluation frameworks
Ship large language model (LLM) and classical ML approaches for abuse detection and classification, turning prototypes into maintainable code
Own systems end to end, from integrating a model into the platform through deployment, monitoring, and iteration
Work with security, product, and infrastructure teams to turn abuse patterns and detection logic into production systems
What you need
5+ years of software engineering experience building and operating production systems at scale
Wrote production code in Python, plus JavaScript/TypeScript or Go
Built and maintained ML infrastructure, such as training and serving pipelines, feature stores, or evaluation tooling
Integrated LLMs into production systems, including prompt engineering and evaluation
Bonus if you
Built an open source ML tool
Worked in the trust and safety, fraud, or abuse prevention domain
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Кандидату в команду поиска предстоит: - Разрабатывать и поддерживать поисковые сервисы по полному циклу жизни объявлений: от индексации до финального ранжирования и пайплайна learning to rank.
Jito Labs is looking for a Senior Security Engineer Product to secure products and protocols, lead security reviews, harden deployments, and manage vulnerability risks.
Xsolla is looking for a Staff Software Engineer Smart Wallet and Account Abstraction to lead wallet architecture, account abstraction, and custody systems.
Wincent is looking for a Full-stack Engineer to build internal tools, improve workflows, and develop trading applications across frontend and backend systems.
Wincent ищет инженера по производительности для высокочастотной торговли (HFT), который будет заниматься оптимизацией задержек, надежности и эффективности торговой системы на уровне аппаратного обеспечения, сетей и программного обеспечения. В обязанности входит работа с сетевыми стеками, анализом рыночных данных, профилированием производительности, ядром Linux, сетевой инженерией, обеспечением низкой задержки, мониторингом, тестированием производительности, скриптингом, анализом трассировок, протоколами бирж и аппаратным бенчмаркингом. Зарплата варьируется от 80 000 до 150 000 долларов.
Location: Mumbai, India
We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects.
For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land.
We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions.
Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency.
With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way.
The Role & Responsibilities
The role will be responsible for taking technical ownership of key workstreams on EnerMech's Azure Databricks data platform, operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable.
Working for our Enterprise Business Systems (EBS) function in the Mumbai Shared Service Centre, the role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves complex platform issues, and is a technical point of contact for the global EBS Team, and business stakeholders.
Key reponsibilities will include:
Design, build, quality and reliable operation of assigned workstreams on the Azure Databricks data platform, from scoping through to production deployment.
Integrity of the medallion data model (bronze/silver/gold) for assigned data domains, ensuring data is modelled, validated, documented and certified for downstream reporting and analytics.
Build and optimise Delta tables and materialized views, with attention to performance at scale.
Design and implement data quality frameworks (preferably DQX or equivalent), including quarantine/error handling and validation against data contracts.
Define job-specific compute configurations appropriate to each workload, balancing performance and cost.
Contribute to and troubleshoot Terraform-managed infrastructure (networking, storage, Key Vaults, Managed DevOps Pools, Dev Centers).
Own and maintain Azure DevOps build and release pipelines, variable groups/libraries, and repository security, permissions and branch policies.
Support environment-level Azure configuration, including subscription-level access, RBAC for user and pipeline (service principal) identities, and Terraform state backend management across multiple storage accounts and environments.
Operate autonomously across a workstream, from scoping through to production deployment.
Use AI-assisted tooling to support day-to-day development, validating outputs against authoritative sources (architecture decisions, technical leads, documentation) before acting on them.
Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific.
The Requirements
Essential
Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience.
Typically 6+ years in data engineering, including 3+ years hands-on with Azure Databricks in production.
Demonstrated ownership of medallion architecture design and data modelling.
Implemented data quality frameworks and data contracts in production.
Implemented PII protection (masking, tokenisation or access tiering) across environments.
Platform engineering experience: diagnosing infrastructure issues, not just consuming platform services.
Track record of autonomous delivery, including direct stakeholder engagement.
Databricks Certified Data Engineer Associate (minimum).
Desirable
Databricks Certified Data Engineer Professional.
Microsoft AZ-400: Designing and Implementing Microsoft DevOps Solutions.
Multi-environment Azure networking (VNet peering, DNS zone design, NAT Gateway).
Migrating or standing up CI/CD pipelines, incl. introducing pipeline templates/standards.
Governance and identity patterns (e.g. Entra ID, RBAC scoping).
Applying regulatory frameworks (e.g. GDPR) to data platform design.
Shared service centre or global delivery model experience, ideally in energy or industrial services.
Location: Marousi, Greece
Are you looking to start or further develop your career in networking and network security?
EUROPEAN DYNAMICS is looking for a
Junior Network Engineer
to join our Network Team and contribute to the operation and support of enterprise network infrastructures for large-scale projects worldwide.
The position offers hands-on exposure to enterprise networking and security technologies and the opportunity to develop experience across Cisco, HPE, Fortinet, F5, and other technologies while working alongside experienced network engineers.
Key Responsibilities
Support the day-to-day operation, monitoring, and troubleshooting of network infrastructure;
Assist with routing, switching, firewall, VPN, and network security activities;
Perform routine network administration, operational checks, and first-level troubleshooting;
Assist senior team members with network changes, upgrades, migrations, and new deployments;
Support the maintenance of network documentation, configurations, and operational procedures;
Participate progressively in infrastructure projects and more advanced networking and security activities as experience develops.
Requirements
Must Have Qualifications
Good understanding of IP networking and core networking concepts, including TCP/IP, subnetting, VLANs, routing, switching, and STP;
Basic understanding of routing protocols such as OSPF and BGP;
Basic understanding of firewalls, VPNs, and network security principles;
Good analytical and troubleshooting skills;
Strong interest in developing a career in networking and network security;
Ability to learn, work effectively within a team, and gradually take on greater technical responsibility;
Cisco CCNA or equivalent networking knowledge.
Nice to Have Qualifications
Previous professional, internship, or hands-on lab experience in networking or IT infrastructure;
Exposure to Cisco, Fortinet, or other enterprise networking/security technologies;
Fortinet certification or relevant security knowledge;
Exposure to network monitoring and troubleshooting tools;
Basic knowledge of cloud networking;
Basic scripting or automation knowledge (e.g., Python, Ansible).
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
JNE/10/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Berlin, Germany
About the company
Our client is the largest go-to-market company in the DACH region. They work with high ownership and a fast pace, and they look for people who don't wait to be told what to do, but see where things are on fire and step in.
At our client you get real responsibility early and build things that carry the company
Grown to over €5M ARR in about 2 years, profitable, bootstrapped and with 200+ B2B clients.
Small team with direct access to the founders. If you have a good idea, you implement it yourself.
We grow fast enough that responsibility keeps opening up, and we prefer to fill it internally.
What you do
Build GTM systems at the largest GTM company in the DACH region.
Build the AI-powered outbound systems our client uses to generate pipeline for itself and its clients.
Head start. GTM engineering has only existed for about three years, and we've been doing it at scale ever since with 200+ clients.
Own tooling with our client's OS, our own scrapers running on a local LLM and buying signals from 50+ data sources.–
Strong integrations with Clay, n8n, Claude Code, HeyReach and Pipedrive. What you build goes into the system and runs for every client.
The Role:
End-to-end outbound systems. From lead lists and enrichment to personalized copy at scale.
Signals over volume. Turns intent, job changes or funding into tailored sequences.
Team. Currently 6 GTM Engineers, with an expert or leadership track afterwards.
Berlin, 3+2 hybrid · no-/low-code, no coding required. Stack with Clay, n8n, Claude Code, HeyReach, Zapmail, Pipedrive and our client's OS.
Requirements
Must Haves:
Hands-on Clay experience, i.e. has built own tables with enrichment, waterfalls and AI columns
Proven track record from own outbound campaigns, backed by numbers such as reply rate, booked meetings or pipeline (from a job, internship or own projects)
Business sense and analytical thinking, builds systems end to end instead of just operating tools
Ownership and drive, works independently and needs little guidance
Fluent German skills
Should-Have: (Most should be met)
First professional experience in outbound, lead generation, RevOps or growth
Defines target groups and qualifies leads based on signals
Automates workflows with n8n, Make or Zapier
Confident with AI tools and LLMs, e.g. prompting or Claygent
Writes compelling, personalized outbound copy
Nice to have:
Claude Code or basic Python, JS or APIs
Email deliverability and LinkedIn outreach (Zapmail, HeyReach)
Experience with Pipedrive or other CRMs
Startup, agency or consulting background
Active in the GTM engineering community
Benefits
Coaching program with 1:1s from day one
Deutschlandticket and Urban Sports Club M
MacBook and a dedicated desk in the office
Dinner when it gets late (from 7 pm)
Regular team events and team evenings
География найма не уточнена
seniorMumbai, India; Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific