Senior Expert (AI Engineering)

Novartis Ireland; Dublin; Hybrid; EUR 63,000 - 118,000; Full time

Benefits offered by this job

Hybrid working

Parental leave

Competitive benefits

Job summary

Novartis is seeking a Senior Expert in AI-Engineering in Dublin to transform cutting-edge machine learning models into scalable, production-ready solutions for drug discovery. You will design, train, and deploy advanced AI models while collaborating with scientists to validate benchmarks and ensure reproducibility.

You will lead end-to-end model lifecycles, optimize for latency and cost, and contribute to engineering excellence in a hybrid work environment with flexible arrangements.

Qualifications

• Minimum 4 years of experience building, training, and deploying ML 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

Responsibilities

• Design and train advanced ML models for drug discovery, including deep learning and graph architectures
• Own end-to-end model lifecycle from problem definition to production deployment and updates
• Conduct benchmarking, validation, and performance evaluation against scientific and business goals
• Deploy scalable model inference services meeting latency, throughput, and cost requirements
• Build automated training, retraining, and monitoring pipelines with drift detection
• Optimize models and pipelines for performance, reliability, and scalability in production
• Establish best practices for reproducibility, testing, and deployment standards
• Collaborate with cross-functional teams to translate research into production-ready AI solutions
• Partner with scientific experts to validate models against biological benchmarks
• Mentor teams and raise engineering excellence across the AI for Research org

Skills

Python

PyTorch

JAX

MLOps

Model deployment

Benchmarking

Distributed training

Job description

Summary

Job Title: Senior Expert (AI-Engineering)

Location: Dublin, Ireland

Relocation Support: This role is based in Dublin, Ireland. Novartis is unable to offer relocation support: please only apply if accessible.

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

• 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 4 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

Rewards

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

The rewards of being part of our team go far beyond base pay and incentives. We also offer 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. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave.

Expected Annual Base Salary Range For Role

• Dublin: 63,490.00 - 117,910.00 EUR Annual

The salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

Commitment 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.

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

Benefits and Rewards:

Learn about all the ways we’ll help you thrive personally and professionally.

Read our handbook (PDF 30 MB)