Senior Staff GenAI/ ML Ops Engineer

Job Description Summary Ce poste impliquera de travailler sur plusieurs projets de données et d'informations en tant que chef de projet ou consultant interne. Travaille sur des projets très complexes nécessitant des connaissances approfondies dans au moins deux domaines spécialisés relatifs à l'architecture. Job Description 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. 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 (bolthires/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. Qualifications • Bachelors degree in Computer Science, Data Science, Engineering, or a related discipline with a strong focus on Machine Learning, Deep Learning, or AI Operations.• 3–5 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). • Familiarity with containerization, bolthires/CD, and DevOps practices (Docker, Kubernetes, GitHub Actions, Jenkins). • Demonstrated expertise in MLOps / GenAIOps tools and frameworks (e.g., MLflow, SageMaker, Bedrock, LangSmith, LangGraph). • Proficiency in Python, cloud platforms (AWS, Azure), and open-source data science tools (Jupyter, SQL, Hadoop, Spark, TensorFlow, Keras, PyTorch, Scikit-learn).• Strong understanding of 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. Desired Characteristics • Masters degree or PhD preferred. 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 you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support. #LI-BR3 #LI-Remote We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $136,000.00-$204,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case.The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. 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. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening.Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Nonobstant le fait que GE HealthCare ne requiert actuellement pas des salariés américains (USA) qu'ils soient vaccinés contre la COVID-19, certains clients de GE HealthCare appliquent des règles de vaccination qui pourraient toucher certains salariés de GE HealthCare. Aide à la relocalisation fournie : Non Application Deadline: January 31, 2026 Apply tot his job