What You'll Do
- Develop and manage ML infrastructures and CI/CD pipelines to support multiple data products
- Build fully automated, scalable, cost-effective, and fault-tolerant solutions in AWS to process billions of records
- Provide engineering mentorship and guidance to data scientists
- Develop LLM-based agents capable of performing function calls and utilizing tools such as browsers for enhanced data interaction and retrieval
- Experience with Reinforcement Learning from Human Feedback (RLHF) methods such as Direct Preference Optimization (DPO) and Proximal Policy Optimization (PPO) for training LLMs based on human preferences
- Collaborate with data scientists, data engineers, and product/operation teams
Requirements
- Agile mindset
- Professional in ML operationalization, including CI/CD pipelines and workflow/model management, stacks such as Airflow and MLfLow
- Professional in distributed computing platforms (Ray and Spark) as well as Kubernetes for inference
- Solid understanding and experience in deep learning frameworks (e.g., PyTorch, JAX,...)
- Hands-on experience in in-house training and inference of LLMs
- 3+ years of experience as a Machine Learning Engineer or relevant jobs
- 2+ years of experience in cloud development, ideally in AWS
- Strong analytical skills and data curiosity
- Strong collaboration skills as well as verbal and written communication skills
- Used to start-up environments
- Social competence and a team player
- High energy and ambitious
Nice to Have
- Experience in the life/health science industry, notably pharma
- Strong theoretical knowledge of Natural Language Processing, Machine Learning, or Reinforcement Learning
- Experience with NoSQL databases
- Familiarity with architectural choices, particularly for ML systems
- Leadership skills and a solid network to help in hiring and growing the team
Perks & Benefits
- Work anywhere
- Personal development budget (equal to 2% of your salary and in addition to that)
- Veeva charitable giving program
- Fitness reimbursement
- Life insurance + pension fund
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