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Location: Belgrade, Remote Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure. Key Responsibilities: Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams; Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data; Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering; Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback; Automate routine steps in CRM procedures and Jira (automation rules, scripts); Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review; Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change; Measure the effect of every change with data, and report it in a clear, short form; Prepare and maintain documentation and playbooks for L1 and L2. What you’ll bring: 2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs; Solid experience with Jira: workflows, JQL, automation rules, dashboards; Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing); SQL for your own analysis: joins, aggregations, working with large tables; Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana); Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation); Working with Git, merge requests and code review; Understanding of HTTP, REST APIs and webhooks; Process thinking: you can map a flow, spot the weak step and change it without breaking the rest; Clear writing in English (B2): instructions, task descriptions, short reports; Ownership and autonomy: you drive a change to the end, including agreeing it with other teams. Nice to have: Production experience with Node.js / TypeScript or Go services, and Postgres; Jira administration, Jira Service Management or Assets; Understanding of ITIL processes; Google Cloud and BigQuery; Experience with LLM tools or agents in support: prompts, evaluation, guardrails; Experience at a fintech company and/or a startup. What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn

Location: Intellias Meet your recruiter Elena Dimitrova elena.dimitrova@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND We are hiring a Senior Data Engineer to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. This is a hands-on senior role. You will write production code every week, own architectural decisions on your workstream, and mentor a paired mid-level engineer. What project we have for you Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. What you will do Perform the end-to-end delivery of one or more priority data domains on Azure Databricks. Design and build medallion (Bronze / Silver / Gold) pipelines using Lakeflow Declarative Pipelines, Auto Loader, Structured Streaming and Delta Lake with Liquid Clustering. Register curated data products in Unity Catalog with the correct tags, masks, row filters, lineage and access policies. Implement data quality gates at the Silver-to-Gold boundary, and refine rules with domain stewards. Package and deploy work using Databricks Asset Bundles through Azure DevOps CI/CD Write automated tests and documentation Work at AI-as-Collaborator level today with a path to AI-as-Orchestrator, using Claude Code, Databricks Assistant, GitHub Copilot and MCP-connected agent tooling to accelerate the recurring parts of pipeline build, test and deploy. What you need for this 6+ years of data engineering experience, with at least the last three years on Databricks in production. Deep hands-on experience with medallion / Lakehouse architecture, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines and Databricks Asset Bundles. Strong python, PySpark and SQL, comfortable diagnosing performance issues on large workloads through Spark UI and Photon. Real production experience with streaming ingestion (Kafka Structured Streaming, Auto Loader) and CDC patterns. Experience implementing data quality at scale (Great Expectations or equivalent), plus lineage, cataloguing and access control. CI/CD on data platforms through Azure DevOps or GitHub Actions, with infrastructure as code (Terraform or equivalent). Fluent working English. Nice to have Active Databricks certifications Prior exposure to investment management platforms, asset management operations data, market data feeds from major providers CDMP DAMA certification or equivalent data governance credential. Experience applying agentic engineering tooling to production data engineering (not just personal productivity), including MCP-connected Databricks or cloud servers. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Databricks

We are looking for a Middle Data Engineer with strong Snowflake, SQL and dbt skills to build and support production data pipelines. • 2+ years of data engineering experience.

Location: Bogotá, Colombia; Buenos Aires, Argentina; Montevideo, Uruguay; Bangalore, India; Islamabad, Pakistan; Hanoi, Vietnam; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Helsinki, Finland; Athens, Greece; Zagreb, Croatia; Tbilisi, Georgia; United Kindom, United Kingdom; Dublin, Ireland; Milano, Italy; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the role: You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products. About the job You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp or similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack. This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure. Responsibilities Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments Integrate AI features into existing products, enriching them with the latest advancements in machine learning Strong programming skills in C++ Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures Experience with any GPU framework between Cuda, Vulkan, Metal, OpenCL Good understanding of deep learning concepts and model architectures Experience with transformers, LLMs, Diffusion models Demonstrated ability to rapidly assimilate new technologies and techniques A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D Bonus points if: You know how to train/fine-tune a LLM You have productionized models You have research experience in new model architectures You have experience with distributed systems Javascript experience Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Проектирование и разработка пайплайнов обработки данных, поддержка и развитие DWH/ETL-процессов, рефакторинг кода, аналитика и миграция источников данных в отчетности. Общий опыт коммерческой разработки от 3 лет.

Location: Москва Ищем ML Engineer для разработки AI-решений на базе больших языковых моделей (LLM). Предстоит заниматься созданием AI-агентов, мультиагентных систем, RAG-решений и адаптацией LLM под прикладные задачи. Специалист будет участвовать в полном цикле разработки: подготовка данных, дообучение моделей, разработка AI-архитектуры и внедрение решений в production. Обязанности ### Твои задачи: * разработка AI-агентов и мультиагентных систем * создание и оптимизация RAG-систем * разработка и настройка промптов (Prompt Engineering) * дообучение LLM * подготовка и обработка датасетов * настройка Embeddings, Vector Search, Hybrid Search * интеграция LLM с API, базами данных и корпоративными системами * оценка качества моделей и оптимизация результатов * развертывание и сопровождение AI-сервисов. Требования ### Мы ожидаем, что у тебя есть: * опыт разработки на Python от 3 лет * опыт работы с LLM и Generative AI * опыт разработки RAG-систем * опыт Fine-Tuning LLM (SFT, LoRA/QLoRA) * опыт работы с Hugging Face Transformers, PyTorch * понимание архитектуры Transformer * опыт работы с Prompt Engineering * опыт создания AI-агентов. **Будет плюсом:** * опыт работы с локальными LLM (Qwen и др.) * опыт развертывания моделей * опыт работы с GPU-инфраструктурой * опыт работы с Vector DB (Qdrant и др.) * опыт построения MLOps-процессов * знание MCP / A2A протоколов * опыт оценки качества LLM Условия ### Работа в СберТехе - это: * гибридный формат работы * годовой бонус и ежегодный пересмотр зарплаты * статус аккредитованной ИТ-компании * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * 90 дней удаленной работы из любого региона РФ * льготная ипотека в Сбере * бесплатная подписка СберПрайм, которой можно поделиться с 3 близкими.

Location: Cardiff, London or Remote (UK); London; Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ Analytics Engineering Manager - Fincrime London/Cardiff/UK Remote | 💰£97,800-£125,000 + Incentive Awards tied to your performance and benefits | Hear from the team ✨ ⭐Our Fincrime Analytics Engineering Team Our Financial Crime Collective helps keep Monzo and our customers safe. We build effective, proportionate controls to protect against financial crime while delivering great customer outcomes. Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Core, Money, Borrowing, Operations and Financial Crime and beyond. The AE teams are responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision making in a cost effective and performant manner. Managers within Data have two primary responsibilities; people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times and celebrating their successes. You will also be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail. There will be a strong focus on delivering best practice across our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this. 🔑You’ll play a key role by... Working in a multi-disciplinary team, you will: Be a hands-on leader in building a discipline of exceptional analytics engineers working to make Data at Monzo the gold standard within the industry Nurture between 5 to 6 analytics engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives Be hands on through participating in the review cycle, architecture and design leadership and development of your own changes to the pipelines Be part of the hiring team within Analytics Engineering Work closely with other leads to deliver a scalable, consistent approach to governance and best practices Drive effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, be it either hands-on or by leading others We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role 🤩We’d love to hear from you if… You have experience managing or mentoring the performance and development of high-performing engineers. You have strong experience in data warehousing architecture at scale You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect You know what it takes to hire great engineers within the data space You’re equally comfortable working hands on and leading a team Nice To Haves: Any experience working within a finance or banking environment Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care) Experience with any of our stack of dbt, BigQuery and Looker Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that’s listed just yet. Drop us your application, we’d love to hear from you! 🙌What’s in it for you 💰£97,800-£125,000 + Incentive Awards tied to your performance and benefits ✈️ We’ll help you relocate to the UK. ✅ We can sponsor your visa. 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚£1,000 learning budget each year to use on books, training courses and conferences. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . 🌈 The application journey has 4 key steps Recruiter Screening Call Initial Call Take Home Task Final Loop (3 sessions - case study, collaboration and people  leadership) This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. For more insight into the AE team at Monzo, check out our podcast with John Azzopardi one of our Senior Leaders in AE #LI-AS1 #LI-REMOTE Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Bitdeer Technologies Group is looking for a Mechanical Engineer in SMT Manufacturing to develop and optimize SMT production processes, improve line efficiency, and ensure product quality.

Matic is looking for a Mechanical Design Engineer Intern to design, prototype, test, and prepare hardware parts and assemblies for mass production.

Fluidstack is looking for a Platform Engineer to automate security infrastructure, manage infrastructure CI/CD, and maintain fleet patching.

Location: Valencia, Spain Workplace: OnSite ROLE HIGHLIGHTS: - Role: Senior Electronics Engineer - Department: Space Systems - Location: Valencia, Spain - Reports to: Engineering Manager, Space Systems - Working type: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) THE MISSION OF THE SENIOR ELECTRONICS ENGINEER We’re looking for a Senior Electronics Engineer to join our New Payload Team and help build the next generation of satellite hardware. In this role, you’ll design, test, and maintain the electronic systems that power and control our payloads and avionics subsystems. You’ll contribute across the entire product lifecycle, from early concepts and prototypes through integration, testing, and on-orbit performance. This role is perfect for someone who enjoys solving complex engineering challenges, collaborating with experts across multiple disciplines, and having real ownership over hardware that flies in space. WHO ARE WE? ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, Germany, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation. DAY TO DAY RESPONSIBILITIES: - Design board-level electronic systems for satellite units and RF boards, with a strong focus on power and control circuits using microcontrollers. - Perform rigorous testing and validation of the electronics you design, ensuring functionality, reliability, and compliance with mission requirements. - Create and maintain clear documentation, including schematics, PCB layouts, test plans, and procedures. - Troubleshoot and resolve issues during design, prototyping, manufacturing, and even in-orbit operations when needed. - Work closely with RF engineers, mechanical engineers, software developers, and other specialists to ensure seamless integration. - Contribute to continuous improvement of design practices, test coverage, and in-orbit performance monitoring. REQUIREMENTS: MUST HAVE SKILLS - 7–10+ years of hands-on experience in electronics engineering, with a strong specialization in analog electronics design. - BSc/MSc in Electronic Engineering or related field. - Proven track record designing low-noise power supplies, timing circuits, and analog signal chains at a senior/expert level. - Significant experience in the space, defense, or avionics industry, having worked on flight or mission-critical hardware. - Strong command of EMI/EMC principles and best practices for noise mitigation. - Demonstrated ability to lead complex analog design efforts and mentor junior engineers. NICE TO HAVE SKILLS - Hands-on experience with space hardware or environmental testing (vibration, thermal, radiation). - Deep understanding of high-speed signals and associated design constraints. - Solid understanding of RF concepts and the interactions between digital, analog, and RF circuitry. - Experience with PCB design tools such as Altium, KiCad, or similar. - Experience working with microcontroller firmware or embedded systems. - Knowledge of root-cause analysis techniques for complex hardware issues. APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Hiring Team Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at https://www.iceye.comiceye.com http://iceye.com

Задачи: — разработка модульной платформы, предназначенной для создания аналитических приложений.

• Diagnose and resolve MES and POP system issues on production lines, including urgent incidents. • Analyse and fix software defects in C# / .NET, test applications, and deploy updates.

-Develop and articulate the overarching engineering strategy and technical vision.

- 5+ years of experience in software development. - Proficiency in AI/ML technologies and product building.

Location: Москва Наша CV команда создает лучший в Сбере продукт для автоматического распознавания документов, используя самые передовые технологии. Главными задачами для нас являются разработка и улучшение OCR-модели на базе VLM, сбор обучающих данных с использованием кастомного agentic harness, и развёртывание клиентского сервиса внутри банка. Мы ищем Middle/Senior инженера, который будет заниматься полным циклом обучения и деплоя продукта. Обязанности * изучать SOTA подходы к OCR: чтение свежих пейперов в сфере e2e OCR, адаптация подходов data mining, SFT/RL, гипотезы * ставить эксперименты по обучению VLM-моделей: проверка гипотез на multi-node сетапе, замер метрик на внешних и внутренних бенчмарках. * дорабатывать пайплайн обучения: улучшение репозитория на текущем стеке (accelerate, TRL) - ускорение обучения, добавление аугментаций, адаптация под новые модели * собирать обучающие данных: агрегация существующих и новых данных в требуемом формате MarkDown, поиск новых доменов, написание скриптов по загрузке * размечать датасеты: запуск процесса разметки для вновь собранных или существующих данных при помощи кастомного agentic harness сборщика разметки (а также его улучшение), или внутренней платформы разметки асессорами * адаптировать сервис: интеграция обученных моделей в сервис на основе vLLM для сёрвинга клиентам внутри банка. Требования * высшее образование: математика, информатика или профильный data science * 3+ лет в ML, из них не меньше года лет с LLM/VLM в проде * английский для чтения статей и документации * Fine-tuning: SFT, LoRA/QLoRA, RL (DPO, GRPO) * современные движки инференса: vLLM, sgLang, triton * опыт работы с VLM: понимание принципов работы, дообучения, основных ограничений * агентные пайплайны: вызовы моделей, обработка исключений, ограничение стоимости * опыт в разметке датасетов асессорами, или автоматическими инструментами * Python: пишете код, который уходит в прод. Тесты, ревью, код-стайл * специфика банка: много контрагетов, с ними нужно иногда коммуницировать \*\*Будет плюсом\*\*   * опыт python-бэкендера: FastAPI, асинхронность, очереди, PostgreSQL, векторные хранилища * работа с разметчиками и контрагентами * публикации, доклады, open source. Условия * комфортный современный офис - м. Кутузовская * гибридный формат работы * ежегодный пересмотр зарплаты, годовой бонус * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и 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 * корпоративная пенсионная программа.

— Разработка и обучение моделей для оптимизации генерации ZK-доказательств и работы ZK-сопроцессоров.

• Oracle, PostgreSQL, SQL. • ODI, Informatica или аналогичные ETL-инструменты.