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Build AI/ML-powered features for ClickHouse Cloud, integrating inference APIs with responsive frontends and robust backend services in TypeScript.
Run and optimize a high-performance GPU cluster with NVIDIA H100/A100 GPUs, Ceph storage, and Kubernetes, automating operations and supporting ML teams.
Build and optimize AI agents for Google Cloud’s Applied AI suite, focusing on recommendation systems, skill discovery, and performance tools for conversational agents.
Build AI-enhanced features and scalable APIs for a high-performance database, integrating AI capabilities with user-friendly interfaces.
Build and maintain the data pipelines and tooling that feed AI/ML services for a cloud-based healthcare platform, enabling model development, deployment, and monitoring at scale.
Builds and maintains Python-based backend services and ML/AI data pipelines for a banking product, ensuring regulatory compliance.
Principal consultant advising enterprises on Generative AI, Agentic AI, and ML transformations on AWS, leading large-scale implementations and shaping cloud strategies for industries like FSI, telecom, and retail.
Build AI/ML-powered features for ClickHouse Cloud, integrating inference APIs and user interfaces to help users extract value from data using TypeScript and React.
Build and deploy scalable AI/ML systems using Python, Azure, Databricks, and MLOps/LLMOps tooling to solve business problems at a sustainability-focused company.
Build and deploy production-scale NLP and personalization models that process billions of consumer reviews and UGC, using Python, cloud ML stacks, and LLMs.
Builds and operates AI-driven backend services using Python, LLMs, and cloud-native microservices to create intelligent data products and scalable inference pipelines.
Build and maintain AWS environments for market data distribution, ingest third-party data, and collaborate with teams to meet business and regulatory needs using AWS, Terraform, Python, and SQL/no-SQL.
Build and optimize synthetic-data pipelines for large language models, collaborating with ML teams to ensure high-quality training data.
Senior ML Engineer builds and maintains data pipelines and ML models in production for a French insurer, owning the full MVP lifecycle from ideation to deployment.
Build backend Python services for an AI-focused software house, collaborating with product owners and engineers to deliver scalable solutions.
Build and ship production AI-enabled Python backend services, APIs, and LLM-driven workflows in a Kubernetes environment for a large-scale enterprise platform.
Leads the design and optimization of AI/ML infrastructure on AWS and Azure, focusing on scalability, reliability, and automation for cloud-based platforms.
Build and maintain the Kubernetes-based AI/ML infrastructure that powers Tripledot’s gaming products, ensuring scalable, secure, and high-performance systems for millions of players.
Senior DevOps Engineer builds and scales Roku’s cloud-agnostic platform using Kubernetes, Istio, and observability tools, ensuring reliability and global scalability for streaming infrastructure.
Build AI-powered robotic perception systems for industrial welding using deep learning, sensor fusion, and 3D computer vision to automate manufacturing workflows.
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