Senior Expert (AI Engineering)

Position

Vollzeit

Festanstellung

Senior

Ingenieurwesen

Konditionen

Basel (City)

Hybrid

CHF 102,200.00 - CHF 189,800.00 Annual

Endet in 30 Tagen

Anforderungen

4+ J. Erfahrung

EU/EFTA-Bewilligung

Skills

Graph AlgorithmsMLOpsModel Drift DetectionPyTorchJAXDistributed TrainingPythonMachine learningCloud ArchitectureModel benchmarkingPerformance MetricsAutomated deployments

Vergütung

CHF 102,200.00 - CHF 189,800.00 Annual

Beschreibung

Imagine shaping how breakthrough medicines are discovered by bringing cutting-edge AI from concept to real-world application.

Aufgaben

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

Anforderungen

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

Technologien

PythonPyTorchJAX

Vorteile

A variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs
Flexible and hybrid working options, where possible
A minimum of 14 weeks paid parental leave

Unternehmen

Novartis

Pharmaceuticals

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

Kontakt

inclusion.switzerland@novartis.com