ML Ops Lead
Line of Service: Advisory
Management Level: Senior Associate
Specialism: Data, Analytics & AI
Location: Hyderabad
Employment Type: Full Time, Permanent
Job Posting End Date: July 28, 2026
About the Role
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In this role, you will lead the full ML system lifecycle: from experimentation and model development to production deployment and ongoing monitoring.
Responsibilities
- Lead the full ML system lifecycle: from experimentation and model development to production deployment and ongoing monitoring
- Design and build scalable, cloud-native MLOps pipelines for training, validation, deployment, and lifecycle management
- Develop and manage ML infrastructure on Azure, with emphasis on Azure Kubernetes Service (AKS)
- Implement best practices for model versioning, CI/CD, observability, and reproducibility in ML workflows
- Productionize ML models as robust, low-latency APIs and batch systems integrated into healthcare workflows
- Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver scalable ML systems
- Monitor model performance, detect drift, and ensure continuous model improvement in production
- Mentor teams on MLOps practices, cloud engineering, and designing production-grade ML systems
- Stay up-to-date with evolving trends in MLOps, distributed systems, and the Azure AI ecosystem
Requirements
Experience:
- 8+ years of experience in Machine Learning Engineering, MLOps, Data Science, or related quantitative fields
- Strong background in machine learning complemented by software engineering skills and systems thinking for production deployments
- Proven experience with large-scale, high-dimensional datasets and building scalable, reliable ML pipelines
- Expertise with modern ML methods, including Transformers for NLP and representation learning
- Demonstrated success taking models from experimentation through to production using MLOps best practices (CI/CD, automation, orchestration)
- Hands-on experience deploying, monitoring, and managing ML models in cloud environments, preferably Azure and AKS
Education:
- Bachelor of Engineering
Required Skills:
- Data Science
- Python
- Machine learning
- Deep learning
Preferred Skills:
- Healthcare domain experience, particularly with healthcare revenue cycle
- Accepting Feedback
- Active Listening
- Agile Scalability
- AI Fluency
- AI-Human Collaboration
- Amazon Web Services (AWS)
- Analytical Thinking
- Apache Airflow
- Apache Hadoop
- Azure Data Factory
- Communication
- Creativity
- Data Anonymization
- Data Architecture
- Database Administration
- Database Management System (DBMS)
- Database Optimization
- Database Security Best Practices
- Databricks Unified Data Analytics Platform
- Data Engineering
- Data Engineering Platforms
- Data Infrastructure
- Data Integration
- Data Lake
Other Requirements:
- Ability to independently own ambiguous problems and deliver end-to-end ML solutions
- Excellent collaboration, communication, and stakeholder management skills
About PwC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm's growth. We have zero tolerance for any discrimination and harassment based on the above considerations.
Additional Information
Work Visa Sponsorship: No
Government Clearance Required: No
Travel Requirements: Not Specified
About PwC
PwC is a global professional services network providing audit, assurance, tax, and consulting services to organizations across various industries. The firm helps clients address complex business challenges through expertise spanning financial advisory, risk management, digital transformation, and sustainability services.
Interested in this role?
Apply now to join PwC.