Senior Expert (AI Engineering)

• Design and train advanced machine learning models for drug discovery, including deep learning and graph-based architectures
• Own end-to-end model lifecycle from problem definition to production deployment and continuous improvement
• Conduct rigorous benchmarking, validation, and performance evaluation against scientific and business objectives
• Deploy scalable, reliable model inference services meeting latency, throughput, and cost requirements
• Build automated training, retraining, and monitoring pipelines including model drift detection mechanisms
• Optimize models and pipelines for performance, reliability, and scalability across production environments
• Establish and promote engineering best practices for reproducibility, testing, and deployment standards
• Collaborate with cross-functional teams to translate research innovations into production-ready AI solutions
• Partner with scientific experts to validate models against biological and chemical benchmarks
• Mentor teams and contribute to raising engineering excellence across the AI for Research organization

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