Senior AIOps Engineer - GenAI & ML Deployments

Relha LLC; Poland; Hybrid; PLN 356,000 - 490,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Mobility allowances

Flexible working

Work-life balance

Job summary

GE HealthCare’s Chief Data and Analytics Office seeks a Sr Staff AIOps Engineer to design and operationalize ML and GenAI pipelines across the enterprise, enabling scalable, secure AI applications with governance and observability.

You will automate model lifecycles, collaborate with IT and cloud teams, and mentor data science and engineering teams while driving innovation in GenAI and MLOps across hybrid environments.

Qualifications

• PhD or Master’s degree in Computer Science, Data Science, Engineering with a strong focus on engineering and ML/Dev Ops.
• Advanced hands-on experience in developing, deploying, and maintaining ML/AI development pipelines and applications in enterprise environments.
• Proficiency in Python, cloud platforms (AWS, Azure), containerization, CI/CD, and DevOps practices (Docker, Kubernetes, GitHub Actions, Jenkins).
• Working knowledge of MLOps / GenAIOps tools and frameworks (e.g., MLflow, SageMaker, Bedrock , LangSmith, LangGraph).

Responsibilities

• Develop and operationalize ML and GenAI pipelines to enable scalable, reliable, and secure deployment of AI models across GE HealthCare’s enterprise landscape.
• Automate model lifecycle management, including model versioning, continuous integration (CI/CD), testing, deployment, observability and monitoring, and governance in alignment with enterprise standards.
• Partner with IT and cloud teams to optimize infrastructure for AI workloads across hybrid and multi-cloud environments (AWS, Azure).
• Collaborate with cross-functional teams — including data scientists, software engineers, architects, and domain experts — to ensure smooth end-to-end delivery of AI solutions.
• Integrate Generative AI capabilities (e.g., LLMs, multimodal models) into business workflows, enhancing automation, productivity, and decision intelligence.

Skills

ML Ops

GenAI

Python

CI/CD

Kubernetes

Communication

Stakeholder management

Mentorship

Education

PhD or Master’s degree in Computer Science, Data Science, Engineering

Tools

MLflow

SageMaker

Bedrock

LangSmith

LangGraph

LangChain

Kubeflow

Docker

Kubernetes

Job description

GE HealthCare’s Chief Data and Analytics Office seeks a Sr Staff AIOps Engineer to design and operationalize ML and GenAI pipelines across the enterprise, enabling scalable, secure AI applications with governance and observability.

You will automate model lifecycles, collaborate with IT and cloud teams, and mentor data science and engineering teams while driving innovation in GenAI and MLOps across hybrid environments.