MLOps Engineer - Data Modeling (5-7 yrs)

Job Title : MLOps Engineer (Healthcare Domain)

Experience : 5+ years in Healthcare with AI/ML exposure

Job Summary :

We are hiring an experienced MLOps Engineer with a background in the healthcare domain. The ideal candidate should have hands-on experience in deploying ML models, building data pipelines, and implementing CI/CD workflows on cloud platforms. Knowledge of healthcare

data standards such as HL7, FHIR, and HIPAA is required.

Key Requirements :

- 5+ years in healthcare domain

- Strong understanding of AI/ML model lifecycle

- Experience with MLOps tools (MLflow, Kubeflow, etc.)

- Proficient in Python, Docker, and Kubernetes

- Familiarity with cloud platforms (AWS, GCP, or Azure)

- Knowledge of HL7, FHIR, HIPAA standards

What you get to do in this role :

- Develop algorithms that apply deep learning and innovative methods in NLP & computer vision, combined with traditional large sophisticated solutions/codebases!

- Developing innovative solutions using Generative AI, Python, Machine Learning and Data Science!

- Build experiments, algorithms and ship solution that not only yield high accuracy but are also crafted and engineered to scale.

- Collaborate across multiple research and engineering teams, making the tradeoffs required to rapidly deliver AI/ML software solutions.