1 day ago
Hyderābād, IndiaSenior
Responsibilities
- Design and train advanced machine learning models, including deep learning and graph-based architectures, for drug discovery.
- Own the end-to-end model lifecycle from problem definition through production deployment and continuous improvement.
- Benchmark, validate, and evaluate models against scientific and business objectives.
- Deploy scalable model inference services that meet latency, throughput, and cost requirements.
- Build automated training, retraining, monitoring, and model-drift detection pipelines.
- Optimize models and pipelines for performance, reliability, and scalability in production environments.
- Establish engineering standards for reproducibility, testing, and deployment.
- Collaborate with scientists and cross-functional teams to translate research innovations into production-ready AI solutions.
- Validate models against biological and chemical benchmarks with scientific experts.
- Mentor teams and promote engineering excellence across the AI for Research organization.
Requirements
- At least 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, with expertise in model design and optimization.
- Experience fine-tuning and deploying large pre-trained and foundation models, including language and scientific models.
- Strong understanding of model evaluation, benchmarking, cross-validation, and performance across data distributions.
- Experience with distributed training and large-scale computing environments for high-performance model training.
- Hands-on experience 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 the ability to drive engineering excellence in complex environments.
- Desired skills include biostatistics, data governance, data quality, data science, data visualization, deep learning, graph algorithms, machine learning algorithms, R programming, statistical analysis, SQL, and time series analysis.
Benefits
- Hybrid work arrangement in Hyderabad, India.
- Relocation support is provided.
- Inclusive work environment and diverse teams.
- Reasonable accommodation is available during recruitment and employment for individuals with disabilities.
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About Novartis
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide. Find out more at https://www.novartis.com See our community guidelines: https://go.novartis.social/3Nboxki