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Build and deploy scalable AI/ML systems using Python, Azure, Databricks, and MLOps/LLMOps tooling to solve business problems at a sustainability-focused company.
Design enterprise AI/ML pipelines and governance frameworks for the VA, ensuring responsible deployment of healthcare and benefits systems that meet federal standards.
Build and deploy AI/ML models and LLM-based assistants for pharma-market analytics, including RAG systems and data-driven decision tools.
Design and lead ML architecture for sports-tech products, building scalable inference pipelines and real-time 3D systems that power immersive fan experiences.
Design and sell AI-powered data solutions for customers, integrating data platforms, AI models, and agentic frameworks to enable scalable, secure AI deployments across industries.
Senior Data Scientist builds NLP and GenAI models to analyze customer journeys, using Python, PySpark, and Azure to deploy solutions that drive actionable insights.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Lead architecture and team for Inari’s Data & AI Platform, integrating AWS, Kubernetes, Databricks, and AI systems to power predictive design and scientific workflows.
Build and scale the core ML systems for a new AI startup, designing models and infrastructure from the ground up.
Lead hands-on Data Scientist to build and launch the company’s first ML product—personalization and recommendation systems—then scale the Data Science function across e-commerce use cases like forecasting and optimization.
Build and maintain cloud data pipelines and platforms for clients using AWS/GCP/Azure, Snowflake, Databricks, Airflow, Spark, and Python.
DevOps engineer to automate, standardize and scale CI/CD pipelines and observability for high-load mobile games and services, using GitLab, TeamCity, Terraform, Kubernetes and monitoring stacks.
Мы ищем ML-инженера , который будет разрабатывать и внедрять модели машинного обучения для задач прогнозирования. Вы присоединитесь к команде, которая строит системы, помогающие бизнесу принимать решения на основе…
Senior Data Engineer builds scalable data pipelines and AI solutions for Nexans’ digital transformation, leveraging Python, Databricks, and cloud platforms to enable measurable business impact.
Designs and maintains CI/CD pipelines, Kubernetes clusters, and cloud infrastructure for ML and general apps, automating deployments and monitoring systems.
Builds and maintains scalable data and ML platforms using AWS, Terraform, Kubernetes, and Databricks, automating pipelines and GenAI workflows while ensuring reliability and observability.
Build and deploy AI solutions (LLMs, RAG, ML) to optimize Safran Aircraft Engines’ customer support and service operations, translating business needs into robust, explainable models.
Lead a small team of senior data engineers to build and maintain scalable data infrastructure (Spark, Kafka, Airflow) and enable AI/ML workflows for a global fashion resale platform.
Build and deploy AI solutions (LLMs, RAG, ML) to improve customer support and service operations, translating business needs into robust, explainable models and driving adoption across teams.
Build and optimize GCP-based data pipelines and vector databases to power AI models like LLMs and RAG systems for Doctolib’s AI Medical Companion, supporting healthcare professionals across Europe.
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