remote
Technical Manager - LLMs, Retrieval Augmented Generation and Machine Learning - DNV
ML Engineer
Lead a cross‑functional team to design, develop, and deploy LLM‑based solutions with Retrieval‑Augmented Generation, driving AI innovation for energy systems using Python and cloud platforms.
About the role
Key Responsibilities
- Define and execute the technical roadmap for LLM and RAG projects, aligning with business goals in the energy sector.
- Architect, prototype, and scale AI solutions on cloud environments (AWS/GCP) using Python and modern ML frameworks.
- Lead a multidisciplinary team of data scientists, engineers, and product owners, fostering best practices in prompt engineering, model fine‑tuning, and evaluation.
- Collaborate with stakeholders to translate domain requirements into robust AI pipelines, ensuring data quality, security, and compliance.
- Mentor team members, drive knowledge sharing, and stay current with emerging LLM and RAG research to maintain a competitive edge.
Requirements
- 5+ years of hands‑on experience with Large Language Models, Retrieval‑Augmented Generation, or related NLP technologies.
- Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Hugging Face.
- Proven experience designing and deploying AI solutions on cloud platforms (AWS or GCP).
- Demonstrated ability to lead technical teams, manage project lifecycles, and communicate complex concepts to non‑technical stakeholders.
- Background in energy systems or related industrial domains is a plus.
Skills
machine learningpython