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Build and maintain the AI/ML platform that turns experimental models into production-ready, governed, and scalable solutions using Databricks, AWS, MLflow, and related tools.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Design and maintain ML infrastructure for robotics autonomy, including data pipelines, training workflows, and MLOps tooling with Kubernetes and cloud services.
Build and deploy generative AI models (LLMs, RAG, prompt engineering) on Azure to solve financial-services problems like health analytics and operations modernization.
Research fellow role in generative AI and ML systems, building models with PyTorch/TensorFlow on AWS and MLOps tools like Docker and Langchain.
Architect and deliver robotics perception systems for enterprise clients, integrating sensor fusion, computer vision, and real-time AI pipelines across edge and cloud environments.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Architect and deliver production-grade AI systems, including agentic workflows and RAG pipelines, using Python, LangChain, and AWS Bedrock. Work with clients to embed AI into enterprise processes and scale intelligent solutions.
Build and scale AI/ML pipelines and GenAI systems for GE HealthCare, automating model deployment, monitoring, and lifecycle management across hybrid/multi-cloud (AWS, Azure).
Build and scale production LLM-powered healthcare applications, including RAG pipelines, agentic systems, and evaluation frameworks, while ensuring compliance and reliability in a regulated environment.
Design and run the AI platform infrastructure that powers EY’s GenAI and agentic AI solutions, including deployment pipelines, observability, and governance at enterprise scale.
Senior DevOps Engineer designs and automates cloud infrastructure and CI/CD pipelines using Terraform, AWS, Azure, and GitHub Actions to deploy containerized apps on Kubernetes.
Build and operate a sovereign European cloud platform from the ground up using Kubernetes, GitOps, and CNCF tools, supporting Earth observation and climate research.
Build and maintain AI infrastructure and MLOps pipelines using GitLab, Docker, Kubernetes, and Terraform to deploy and scale AI models in cloud or hybrid environments.
Build and automate AWS SageMaker environments and MLOps pipelines for enterprise ML teams, focusing on scalable infrastructure and CI/CD for model deployments.
Senior DevOps Engineer builds and maintains Azure cloud infrastructure and CI/CD pipelines for scalable insurance pricing solutions, using Terraform, Kubernetes, and Azure DevOps.
Lead AI/ML model development for enterprise-scale financial data reconciliation, deploying Agentic AI and LLMs to optimize banking operations and risk processes.
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