About this opportunity
Job Title: Senior Expert (AI-Engineering)Location: Hyderabad, India#LI-HybridRelocation Support: YesImagine 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.
Key ResponsibilitiesDesign and train advanced machine learning models for drug discovery, including deep learning and graph-based architecturesOwn end-to-end model lifecycle from problem definition to production deployment and continuous improvementConduct rigorous benchmarking, validation, and performance evaluation against scientific and business objectivesDeploy scalable, reliable model inference services meeting latency, throughput, and cost requirementsBuild automated training, retraining, and monitoring pipelines including model drift detection mechanismsOptimize models and pipelines for performance, reliability, and scalability across production environmentsEstablish and promote engineering best practices for reproducibility, testing, and deployment standardsCollaborate with cross-functional teams to translate research innovations into production-ready AI solutionsPartner with scientific experts to validate models against biological and chemical benchmarksMentor teams and contribute to raising engineering excellence across the AI for Research organizationEssential RequirementsMinimum four years of experience building, training, and deploying machine learning models with measurable real-world impactDeep proficiency in Python and frameworks such as PyTorch or JAX; expertise in model design and optimizationProven experience fine-tuning and deploying large pre-trained and foundation models including language and scientific modelsStrong understanding of model evaluation including benchmarking, cross-validation, and performance across data distributionsExperience with distributed training and large-scale computing environments for high-performance model trainingHands-on expertise optimizing models and pipelines for latency, throughput, cost, and production performanceExperience with MLOps practices including experiment tracking, model versioning, reproducibility, and cloud deploymentStrong problem-solving, collaboration, and communication skills with ability to drive engineering excellence in complex environmentsCommitment to Diversity and Inclusion:Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.Accessibility and accommodationNovartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message
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Therapeutic area mix
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