Senior Staff GenAI and ML Ops Engineer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description Summary

Role Overview
GE HealthCares Chief Data and Analytics Office (CDAO) delivers innovative data insights and AI solutions across the organization. Our Enterprise AI team drives a diverse portfolio of Machine Learning (ML) Artificial Intelligence (AI) and Generative AI (GenAI) initiatives by combining agile execution with industry-leading methods and tools.
As a GenAI/ML Ops Engineer you will be at the forefront of operationalizing advanced Machine Learning and Generative AI solutions. You will design deliver and maintain robust development and deployment pipelines for high-impact AI applications across key business domains within GE HealthCare including Finance Commercial Supply Chain Quality Operational Excellence Lean and Manufacturing.
We are seeking a highly skilled and motivated engineer experienced in ML and GenAI operations software development and AI architecture to join our dynamic and growing team.

Job Description

Core Responsibilities

Develop and operationalize ML and GenAI pipelines to enable scalable reliable and secure deployment of AI models across GE HealthCares 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.
Conduct research and proof-of-concepts to evaluate emerging tools frameworks and architectures for GenAI and ML Ops (e.g. LangChain MLflow Kubeflow MS Copilot OpenAi Agent Builder)
Mentor and guide data science and engineering teams on best practices in productionizing AI models and managing their lifecycle.
Promote a culture of innovation collaboration and continuous improvement within the Enterprise AI team.

Experience & Qualifications

PhD or Masters degree in Computer Science Data Science Engineering or a related discipline with a strong focus on Machine Learning Deep Learning or AI Operations.
Overall 8 years of experience
13 years of hands-on experience in developing deploying and maintaining ML/AI development pipelines and applications in enterprise environments.
Knowledge of API development and orchestration frameworks (FastAPI Flask Airflow).
Demonstrated expertise in MLOps / GenAIOps tools and frameworks (e.g. MLflow SageMaker Bedrock LangSmith LangGraph).
Experience in Python cloud platforms (AWS Azure) and open-source data science tools (Jupyter SQL Hadoop Spark TensorFlow Keras PyTorch Scikit-learn).
Understanding of containerization CI/CD and DevOps practices (Docker Kubernetes GitHub Actions Jenkins).
Experience with data preprocessing feature engineering and model evaluation in real-world large-scale environments.
Experience with LLMs and generative AI models including transformers diffusion models self-supervised learning and prompt engineering.
Proven ability to translate research and prototypes into scalable enterprise-grade solutions.
Excellent communication collaboration and stakeholder management skills with the ability to influence both technical and executive audiences.
Curiosity and drive for continuous learning staying current with advances in GenAI MLOps and AI infrastructure technologies.
Problem-solving debugging and analytical skills with clear and persuasive communication to technical audiences.

Inclusion and Diversity

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support

Additional Information

Relocation Assistance Provided: No

Required Experience:

Staff IC

Job Description SummaryRole OverviewGE HealthCares Chief Data and Analytics Office (CDAO) delivers innovative data insights and AI solutions across the organization. Our Enterprise AI team drives a diverse portfolio of Machine Learning (ML) Artificial Intelligence (AI) and Generative AI (GenAI) init...