Данные и ML вакансии

Banco Plata is a digital bank and fintech startup specializing in consumer lending, credit cards with a cashback program, and interest-free installment plans. Remote work or relocation options available to Cyprus, Serbia, Spain, Georgia, or Mexico.

Требуется специалист на вакансию «Инженер данных». Местоположения: Москва, Казань, Нижний Новгород. Полный рабочий день. Требуемые навыки: — middle уровень — SQL — Python — Алгоритмы и структуры данных — PostgreSQL — Базы данных — Apache Kafka

Mycar Digital — цифровой проект для автомобилистов: маркетплейс по продаже и покупке авто, автоматизация бизнес-процессов, автокредитование и дилерские центры. Формат работы: гибрид (Алматы, Казахстан).

Responsibilities: • Design multi-agent systems and integrate LLMs with internal tools • Develop backend APIs, RAG pipelines, and tool/function calling • Build computer vision pipelines for detection, tracking, and re-identification • Optimize real-time video and GPU inference Requirements: • Node.js/Express.js and Python • LLM APIs, prompt engineering, RAG, tool calling, or agent frameworks • Docker, Linux, and Git • PyTorch and OpenCV • Object detection and multi-object tracking (YOLO, ByteTrack/BoT-SORT) • Person re-identification, vector search, and video streaming (RTSP)

Plata is a Mexican fintech startup specializing in consumer lending through the Plata Card. Remote work. Flexible working hours. Relocation support (Serbia, Georgia, Mexico or Colombia).

Задачи: — Design and build AI/ML-powered features and systems — Work with LLMs, APIs, and model integrations — Develop and optimize AI pipelines for real-world use cases — Collaborate with product and engineering teams — Turn complex AI ideas into scalable production features Требования: — Strong experience with Python and AI/ML frameworks — Hands-on experience with LLMs (OpenAI, LangChain, etc.) — Understanding of model integration, prompting, or fine-tuning — Experience with APIs and backend systems — Strong problem-solving mindset and startup experience

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join Replit's key teams across the company, such as AI Research, Strategic Finance, or the Office of the CEO, for a unique paid internship built for sharp quantitative and creative minds. You will work alongside our top executives, in addition to world-class engineers, designers, and finance team on some of the hardest problems in AI-native software creation and accelerating key areas of our business. We are creating a dedicated track for students with strong mathematical backgrounds because the problems we are solving sit at the intersection of deep math and applied AI, including agent reasoning, systems optimization, and improving how our models learn and perform at scale. Your work will directly shape how millions of users build software. You Will: - Contribute to real engineering problems that push the boundaries of AI-powered software creation - Collaborate with engineers, designers, and product managers on infrastructure that powers Replit's platform - Prototype novel approaches to problems in AI, systems, or tooling where mathematical rigor is the differentiator - Ship work that impacts millions of developers globally, in an environment where your ideas are heard and often implemented Required Skills and Experience: - Currently pursuing a Bachelor's, Master's, or PhD in Mathematics, Computer Science, Computer Engineering, Statistics, Physics, or a related quantitative field - At least one semester of schooling remaining after the internship - Demonstrated excellence in competitive mathematics such as IMO and IOI, quantitative research, or advanced coursework - Genuine curiosity about AI, agent systems, company building, or developer tooling - Extremely bullish on Replit and the future of AI-native software creation. We would love to see what you have built on the platform What We Value: - First-principles thinking: Ability to break down complex problems from the ground up and reason about them rigorously - Mathematical intuition: Strong grasp of the underlying math behind machine learning, optimization, or systems - Self-directed and autonomous: Capable of working independently while collaborating well with cross-functional teams - Strong communication: Ability to explain complex quantitative concepts to both technical and non-technical audiences - Curiosity and speed: Genuine excitement for hard problems and the drive to iterate quickly Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Задачи: — проектировать, разрабатывать и поддерживать ETL/ELT-пайплайны — собирать, обрабатывать и трансформировать данные из различных источников — разрабатывать и сопровождать слои DWH, витрины данных и data marts — настраивать интеграцию источников данных: CRM, ERP, BI и внешних сервисов — разрабатывать внутренние сервисы и API на Python — заниматься мониторингом, логированием и устранением ошибок Требования: — практический опыт работы с Python, SQL, Airflow, ETL/ELT и DWH — опыт разработки и поддержки data pipelines — знание реляционных СУБД — опыт работы с API

Location: Kazakhstan; Kyrgyzstan; Uzbekistan Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll build the analytics layer for Finance and Marketing & Growth — two areas that only get partial coverage today — and help shape how analytics engineering scales as the team and data volume grow. What you'll do: - Build the semantic layer that powers Finance's financial reporting, turning business logic into reliable, gold-layer datasets. - Build the analytics layer for Marketing & Growth, enabling self-service reporting on acquisition, funnels, and campaign performance. - Help define how analytics engineering scales across the team — supporting other analysts' data models and shaping technical standards. What you'll own: - Own the semantic layer for financial reporting, ensuring one consistent source of truth for business metrics. - Own the analytics layer for Marketing & Growth, from data modeling to self-service reporting. - Build and maintain dbt models (staging, intermediate, marts) with tests, documentation, and reusable macros. - Design scalable data models in Databricks silver and gold layers, applying dimensional modeling. - Support other analysts across the data team, optimizing self-built data models when performance or reliability issues come up. - Contribute to defining the strategy and standards for analytics engineering as it grows. What makes you a strong fit: - Strong SQL expertise, including complex queries, window functions, and query optimization on large datasets - Hands-on experience with dbt — models, macros, tests, documentation, and CI workflows - Strong dimensional modeling experience (3NF/Inmon, star schema, or anchor modeling) - Experience building semantic layers or maintaining a single source of truth for business metrics - Experience in banking or fintech is a plus, especially data modeling for financial products - Comfortable working in Git-based ELT workflows What we offer: Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Remote-first role, with collaboration hours from 10:00 Manila time (UTC+8) - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Задачи: - Развивать корпоративное хранилище данных: проектировать слои, схемы, таблицы и представления, оптимизировать структуру хранения; - Разрабатывать и сопровождать витрины данных для аналитики; - Проектировать и разрабатывать процессы загрузки данных из разнородных источников; - Настраивать потоки передачи данных между системами: интеграции, синхронизация, обработка ошибок; - Строить дашборды, алертинг и мониторинг; - Обеспечивать наблюдаемость пайплайнов: контроль качества данных, отслеживание задержек и сбоев загрузок; - Проводить аудит текущих решений, выявлять точки роста; - Собирать и уточнять требования к данным вместе с аналитиками и бизнес-заказчиками; - Участвовать в анализе данных: выявление зависимостей, построение логических связей, подготовка данных для аналитики. Требования: - 4+ года коммерческого опыта в роли Data Engineer; - Понимание принципов построения DWH (Kimball / Inmon, star schema, ETL/ELT); - Опыт построения систем мастер-данных; - Умение самостоятельно превратить размытую бизнес-задачу в модель данных и план работ. Будет плюсом: - Опыт ответственности за архитектуру хранилища или крупного домена целиком; - Внимание к качеству данных как отдельной задаче: проверки, SLA, договорённости с владельцами источников; - Опыт с ML и Computer Vision. Условия: - Комфортный офис в Mega Alma-Ata с паркингом и видом на горы; - Гибридный формат работы; - Официальное трудоустройство, медстраховка для вас и близких, компенсация фитнеса.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re hiring a Data Scientist to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards, models and insights to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver recommendations directly to stakeholders. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape Baseten’s product and strategy. RESPONSIBILITIES - Build and maintain production-grade models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience. - Define and instrument core metrics around capacity, availability, ROI, product adoption, revenue and costs. - Ingest and transform raw data using tools like dbt, Airbyte, and Databricks. - Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions - Analyze product, operational and commercial data to identify opportunities, quantify tradeoffs, and influence product and GTM priorities. - Present findings and recommendations to technical and nontechnical audiences, including company leaders. REQUIREMENTS - 5+ years of experience in analytics, BI, or data engineering roles - Strong SQL skills with the ability to write complex queries for data transformation and analysis - Experience designing medallion data architectures, including raw, conformed, and business-ready models with testing, documentation, and lineage. - Excellent communication skills and a collaborative approach to working with cross-functional teams - Demonstrated ability to explain complex work and make clear recommendations to technical and business audiences. NICE TO HAVE - Experience with AI infrastructure, developer platforms, or inference. - Hands-on forecasting expertise, including ARIMA, Prophet, or comparable time-series methods, with disciplined backtesting, error analysis, and scenario planning. - Working knowledge of model-serving and training workflows and the infrastructure metrics that shape performance and cost. - Practical experimentation experience, including test design, power analysis and knowing when directional evidence is sufficient to act. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Задачи: — Проектировать и реализовывать end-to-end LLM-пайплайны, включая продвинутые RAG-системы и автономных AI-агентов (планирование, function calling, мультиагентная оркестрация) — Дообучение и адаптация: SFT/RLHF/DPO, LoRA/QLoRA под бизнес-задачи; решать, когда нужно дообучение, а когда достаточно промпт-инжиниринга или RAG — Поддерживать культуру качества: внедрять продуктовые и ML-метрики (RAGAS, DeepEval, LLM-as-a-Judge), автоматизировать регрессионное тестирование — Писать чистый, документированный и тестируемый python-код, проектировать API-контракты для ML-компонент — Участвовать в код-ревью, формировать технические стандарты команды, работать напрямую с продуктом и стейкхолдерами Требования: — Опыт в DL/NLP от 4 лет, включая обучение и дообучение моделей на PyTorch, из них не менее года практического опыта с LLM — Практический опыт построения AI-агентов и LLM-пайплайнов с использованием LangChain/LangGraph — Глубокое понимание архитектуры современных LLM: attention, MoE, RoPE, KV-cache, методы alignment (RLHF/DPO), принципы эффективного инференса — Сильная инженерная культура: Python (asyncio, pydantic, fastapi), чистый тестируемый код (pytest), асинхронные микросервисы; понимание Docker/K8s, CI/CD для ML — Оценка и мониторинг: уверенное владение инструментами LLMOps (Arize, LangSmith, W&B, Phoenix), опыт создания кастомных eval-пайплайнов — Работа с данными: опыт предобработки сложных данных для датасетов, знание SQL

Задачи: — Присоединиться к исследовательской группе в Университете Северного Техаса с осени 2027 года. — Участвовать в исследованиях в области искусственного интеллекта и машинного обучения, включая федеративное обучение, конфиденциальность, безопасность ИИ и большие языковые модели. Требования: — Сильная подготовка в области компьютерных наук, науки о данных или смежных областях. — Хорошие навыки программирования и аналитические способности. — Предпочтителен опыт научных исследований. Условия: — Начало обучения и работы с осени 2027 года. Контакт для отклика: Pretomroy.ovi@unt.edu

Location: Colombia Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. We're looking for native-level speakers who can deliver natural, everyday-sounding speech — recordings that hold up whether you're reading a script or speaking spontaneously.  Please note: the recordings you produce may be used to create synthesized, AI-generated voices for conversational AI products. Full details on how your data is collected, used, shared, and retained are set out in a Consent Form, which you'll review and sign before any paid session recording begins.  What You'll Do If Selected:      - Two supervised sessions of approximately 4 hours each, guided in real time by a Session Director on a separate recording platform.      - Record scripted material in a natural, conversational tone — faithfully, without a polished, performed, or “announcer” delivery.      - Record unscripted, spontaneous speech on a given topic, matching the same warmth and pace as your scripted takes.      - Set up and manage your own recording space and equipment for session recording.      - Deliver all recordings entirely in the required language (with specific dialect), without code-switching into other languages or dialects.  What We're Looking For  Required      - Experience as a voice actor, actor, or theater performer, or a comparable performance background.      - Native or native-equivalent fluency in the required language (with specific dialect).      - Access to a quiet recording space, free of echo and background noise (acoustically treated for session recording, if selected).      - Owns or will acquire a dedicated, professional-grade microphone for the audition (e.g. RODE NT-USB Mini, Blue Yeti), upgrading to a qualifying USB condenser or XLR mic + audio interface for session recording if selected. Built-in laptop mics, AirPods, earbuds, and headsets are not accepted at any stage.      - Owns closed-back monitoring headphones (required for session recording if selected).      - Comfortable both self-directing for the audition and taking live direction from a Session Director in guided sessions.  Preferred (nice to have, not required)      - Professional voice-over experience (dubbing/ADR, audiobook, podcasting) in a conversational rather than commercial/announcer register.      - Baseline audio hygiene: comfortable setting mic distance and catching noise, clipping, or distortion yourself.      - An existing home recording setup already treated for sound.  Your Data & Privacy  Before any session recording, you'll be asked to review and sign a Consent Form covering how your voice recordings are collected, used (including to train synthesized/AI voice models), shared with approved partners, retained, and how to exercise your data rights (access, correction, deletion, and more, depending on where you live). If you'd like to review these terms before applying, contact us and we'll share a copy in advance.  #L1-CC1

Location: United Kingdom ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Principal Statistician to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes. We are seeking a highly skilled Principal Statistician to lead statistical activities for clinical trials. This role requires hands-on statistical expertise, strong communication skills, and the ability to independently lead projects while collaborating closely with cross-functional teams. Join our team: you can be part of making a difference in peoples' lives and experience a fulfilling and rewarding career! Key Responsibilities Lead and provide statistical support for clinical studies. Act as the lead statistician on assigned studies, overseeing statistical strategy and deliverables Author and review key statistical documents, including: Statistical Analysis Plans (SAPs) Analysis Database Specifications (ADS) Statistical sections of clinical study reports Review and interpret analysis outputs, ensuring accuracy, quality, and regulatory compliance Collaborate with cross-functional teams including Clinical, Programming, Data Management, and Regulatory Provide guidance and oversight to statistical programmers as needed Communicate statistical concepts, results, and risks clearly to both technical and non-technical stakeholders Ensure adherence to regulatory standards (FDA, ICH, GCP) and company SOPs Required Qualifications MS or PhD in Statistics, Biostatistics, or a related field There are no specific therapeutic area requirements; however, experience in Oncology, Rare Disease, or Neuroscience would be advantageous. Strong oral and written communication skills, with the ability to effectively communicate internally and with clients. Demonstrated understanding and insight in statistics, drug development process, and relevant FDA regulations. Pharmaceutical, CRO, or related industry experience with clinical trials, including interaction with Regulatory Agencies, especially the FDA. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #LI-Principal #Permanent