Senior Data Scientist OVA5861
Core
Build, deploy, and manage production-grade ML, AI, and GenAI solutions including MLOps pipelines, AI Agents, and RAG systems.
Role type
Senior Machine Learning Engineer (MLOps & GenAI)
Builds
Production ML pipelines, AI Agents, RAG solutions, containerized models, and custom microservices
Domain
Cloud Infrastructure & Generative AI
Deliverable
production ML models
Required skills
Python, SQL, Docker, Kubernetes, MLOps, CI/CD, GenAI, RAG architectures, REST API development
Preferred skills
Azure Kubernetes Service (AKS), Databricks, MLflow, Mosaic AI, model observability
Technologies
Databricks, Azure Kubernetes Service (AKS), Docker, Kubernetes, MLflow, Mosaic AI, Python, SQL
Responsibilities
Productionize and automate ML pipelines with full CI/CD practices; Build and deploy enterprise GenAI applications and AI Agents; Deploy and optimize open-source AI models and custom REST microservices; Monitor model drift, operational health, and infrastructure costs; Partner with Data Scientists to transition prototypes into scalable enterprise assets
Seniority
Senior, hands-on IC
