Description

Lead the design, development, and deployment of generative AI solutions, including LLMs and AI agents, within a complex simulation framework.

This role is on-site.

Responsibilities

• Build, test, and deploy AI-based software and scalable ML pipelines using MLOps practices.
• Develop and fine-tune LLM and deep learning models for NLP, implementing RAG and hybrid techniques.
• Prototype new AI solutions to future-proof technology stacks and integrate with existing calibration frameworks.
• Collaborate with data scientists and simulation experts to cohesively build new capabilities.
• Mentor team members and drive technical strategy for AI systems.

Required Skills

• 6+ years of experience in data science, machine learning, or AI engineering.
• Strong proficiency in Python, with knowledge of JavaScript and C/C++.
• Hands-on experience with PyTorch, TensorFlow, and core AI toolsets.
• Proven track record of deploying LLMs, deep learning models, and NLP solutions.
• Experience with scalable ML pipelines (MLOps) using Docker, Kubernetes, and FastAPI.
• Understanding of advanced statistics, signal processing, and simulation frameworks.
• Bachelor’s or Master’s degree in Mathematics, Engineering, Physics, Computer Science, or a related field.

Preferred Skills

• PhD in LLM or NLP research.
• Knowledge of reinforcement learning, autonomous systems, or AI agents.

Key Skills

Education

Bachelor's or Master's degrees