Join Our team as a MLops Lead | Hyderabad.

Step into a leadership role where your expertise in MLOps will shape the future of healthcare AI systems We are looking for a Senior MLOps Lead to spearhead the design, deployment, and maintenance of scalable, cloud-native ML infrastructure and pipelines.

Role Overview:
As the Senior MLOps Lead, you will oversee the entire machine learning lifecycle—from model experimentation to production deployment and continuous monitoring. You will design CI/CD pipelines, implement observability and reproducibility best practices, and collaborate closely with data scientists, software engineers, and key stakeholders to deliver robust ML solutions in healthcare.

What You Offer:
8+ years of experience in ML engineering, MLOps, or related fields with a robust software engineering foundation.
Expertise in building and managing scalable ML pipelines and infrastructure on Azure,



including Azure Kubernetes Service (AKS).
Proven track record with up-to-date ML techniques such as transformers and deep learning models.
Hands-on experience with CI/CD, model versioning, monitoring, and automation in production ML environments.
Ability to lead ambiguous projects independently and mentor cross-functional teams.
Healthcare domain experience, particularly healthcare revenue cycle, is an advantage.

Why This Prospect?
Lead the MLOps strategy that powers next-generation healthcare AI solutions.
Work with a passionate, expert team driving innovation in a mission-critical domain.
Influence architectural decisions and foster a culture of excellence in ML engineering.

📌 Ml Ops Lead Hyderabad
🏢 PwC
📍 Hyderabad