Senior_Expert (AI_Engineering)

Job Title: Senior_Expert (AI_Engineering) Company: Novartis Job Category: Machine Learning Roles & Responsibilities: Relocation Support: Yes Imagine shaping how breakthrough medicines are discovered by bringing cutting\-edge AI from concept to real\-world application. As a Senior Expert in AI\-Engineering, you will sit at the critical intersection of innovation and delivery—transforming advanced machine learning models into scalable, reliable solutions that accelerate drug discovery. Collaborating with leading scientists and AI experts, you will drive the translation of pioneering research into impactful tools, ensuring models are reproducible, efficient, and ready to solve complex biomedical challenges. This is an opportunity to directly influence how modern AI reshapes scientific discovery and improves patient outcomes. ### About the Role Key Responsibilities Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people\-and\-culture Division Biomedical Research Business Unit Information Technology Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS \= IN010\) Novartis Healthcare Private Limited Functional Area Data and Digital Job Type Full time Employment Type Regular Shift Work No ### Accessibility and accommodation Work Location: Telangana, India Availability: Full time

Essential Requirements * Minimum four years of experience building, training, and deploying machine learning models with measurable real\-world impact * Deep proficiency in Python and frameworks such as PyTorch or JAX; expertise in model design and optimization * Proven experience fine\-tuning and deploying large pre\-trained and foundation models including language and scientific models * Strong understanding of model evaluation including benchmarking, cross\-validation, and performance across data distributions * Experience with distributed training and large\-scale computing environments for high\-performance model training * Hands\-on expertise optimizing models and pipelines for latency, throughput, cost, and production performance * Experience with MLOps practices including experiment tracking, model versioning, reproducibility, and cloud deployment * Strong problem\-solving, collaboration, and communication skills with ability to drive engineering excellence in complex environments Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally. Key Skills: Machine Learning, Python, PyTorch, Model Training Salary: Not disclosed