6 days ago
Hyderābād, IndiaStaff+
Responsibilities
- Lead the full ML system lifecycle from experimentation and model development through 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, emphasizing Azure Kubernetes Service.
- Implement model versioning, CI/CD, observability, and reproducibility practices for ML workflows.
- Productionize ML models as low-latency APIs and batch systems integrated into healthcare workflows.
- Monitor model performance, detect drift, and support continuous model improvement in production.
- Collaborate with data scientists, engineers, and stakeholders to deliver scalable ML systems.
- Mentor teams on MLOps practices, cloud engineering, and production-grade ML system design.
- Stay current with MLOps, distributed systems, and the Azure AI ecosystem.
Requirements
- 8+ years of experience in machine learning engineering, MLOps, data science, or related quantitative fields.
- Bachelor of Engineering degree required.
- Strong machine learning background combined with software engineering skills and systems thinking for production deployments.
- Experience with large-scale, high-dimensional datasets and scalable, reliable ML pipelines.
- Expertise with modern ML methods, including Transformers for NLP and representation learning.
- Demonstrated success moving models from experimentation to production using MLOps practices, automation, and orchestration.
- Hands-on experience deploying, monitoring, and managing ML models in cloud environments, preferably Azure and Azure Kubernetes Service.
- Ability to independently own ambiguous problems and deliver end-to-end ML solutions.
- Excellent collaboration, communication, and stakeholder management skills.
- Preferred skills include Python, machine learning, and deep learning.
- Healthcare domain experience, particularly healthcare revenue cycle experience, is a plus.
Benefits
- Full-time, permanent employment in Hyderabad.
- PwC offers inclusive benefits, flexibility programmes, wellbeing support, mentorship, and professional development opportunities.
Categories
Data EngineeringML Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.