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Lead Data Scientist driving ML solutions for clients, managing end-to-end engagements and mentoring teams. Involves deploying models with Python, cloud platforms, and MLOps tools.
The Data Scientist will design and deploy production-ready machine learning models and agentic AI systems, including LLMs and RAG, to provide data-driven insights for legal professionals. This hands-on role involves wrangling complex data, building evaluation frameworks, and collaborating with engineering teams to ship intelligent software.
Build and deploy AI models to improve vehicle search, content generation, and SEO/GEO strategies for an automotive-focused platform using NLP, LLMs, and cloud-native tools.
The Data & AI Product Owner defines the strategy, roadmap, and execution for AI-driven solutions, collaborating with cross-functional teams to deliver data-centric products. The role requires deep technical knowledge of AI/ML frameworks and strong stakeholder management skills to translate complex requirements into actionable business outcomes.
Senior Software Engineer developing Python applications, building scalable batch and real-time data pipelines with ETL frameworks, and collaborating with Data Science teams on MLOps and observability solutions at Smiths Detection in Bengaluru.
Data Scientist в Сбербанке валидирует ML-модели для риск-менеджмента, анализирует их качество и бизнес-эффект, разрабатывает системы предиктивной аналитики и автоматизирует проверки с помощью LLM.
The Data Scientist will collect and analyze complex datasets to build predictive models and machine learning algorithms. The role requires strong proficiency in Python, SQL, and at least two years of commercial experience with Snowflake.
Senior Data Scientist builds ML models and dashboards to optimize parking revenue and customer experience using Python, SQL, and cloud tools at a proptech startup.
The Senior Software Engineer will lead the migration of clients from a legacy Java/Groovy/Oracle stack to a modern Python-based architecture on AWS. The role involves building scalable data pipelines, managing cloud infrastructure, and integrating AI/analytics capabilities using tools like Snowflake and Mage AI.
Senior Data Scientist building and owning end-to-end ML models for ETA/ATA forecasting and NLP/LLM-based status extraction on a real-time supply chain visibility platform, using Python, SQL, Airflow, and AWS.
The Senior Data Scientist will join the Antirobot team at Yandex to protect services from bots, scraping, and DDoS attacks using machine learning and data analysis. The role involves building and improving ML models, investigating security incidents, and monitoring real-time system metrics.
The Data Engineer will design and implement data architectures and automation tools to support U.S. Army GEOINT intelligence requirements. The role involves working with Python, R, Java, and other languages to manage data integration and analysis for mission-critical operations.
Intern developing end-to-end AI and data-centric software solutions to enhance operational efficiency of AMD CPU/GPU product development, using Python, SQL, and ML frameworks in a cloud-based production environment.
Build and scale ML systems, MLOps, and agentic AI workflows for a leading Thai food platform, integrating models into production via APIs and microservices.
Build and productionize ML and GenAI solutions for Manulife's actuarial, finance, and treasury functions, translating business problems into predictive models, retrieval-based GenAI systems, and agentic workflows using Python, SQL, Spark/Databricks, and modern ML frameworks.
ML Engineer designing, deploying, and maintaining production ML systems for healthcare, transport, and HR products using Python, PyTorch, scikit-learn, and MLOps tools like MLflow in a hybrid Quebec office.
Builds AI-powered full-stack applications by integrating ML models into scalable cloud-based systems, bridging frontend, backend, and DevOps workflows.
Designs and scales AI-native systems (LLMs, agentic workflows) as a senior architect, defining architecture standards and leading technical delivery for healthcare clients.
Develops AI/ML models and data analysis tools for US National Security projects, using Python to prepare data, build models, and create visualizations for DoD customers.
The Senior AI/ML Engineer will work within an MLOps team to deploy, monitor, and optimize machine learning models in production environments. The role involves building CI/CD pipelines and collaborating with data scientists using cloud platforms like AWS, GCP, or Azure.
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