Description

Must Have Technical/Functional Skills:

Good understanding of data science, advanced statistics, signal processing and simulation frameworks In depth knowledge of the core programming languages (Python, JavaScript, C/C++, etc.), as well as core AI toolsets and libraries (PyTorch, TensorFlow, etc.) Understanding and track record of developing and deploying LLM & Deep learning models, for NLP Knowledge of RAG, generative AI techniques, and Hybrid models are a plus.

Knowledge of Full-Stack AI Deployment (e.g. scalable ML pipelines (MLOps) using Docker, Kubernetes, FastAPI, cloud services, or other modern toolsets) Willingness to learn and continue developing knowledge in an up-and-coming field.

Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.

Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.

Knowledge of Full-Stack AI Deployment (e.g. scalable ML pipelines (MLOps) using Docker, Kubernetes, FastAPI, cloud services, or other modern toolsets)

Roles & Responsibilities:

Model, build and test AI based software that is subject to a wide variety of complex inputs.

Use your expertise in LLMs and/or AI agents to help drive our SW/tools stack while maintaining key connection to our data frameworks (existing calibration or development guides for example) Work collaboratively with a team of specialists ranging from data scientists, simulation experts and calibration technical specialists to cohesively build new capability into our existing CoSimulation framework Use your knowledge to prototype new AI solutions that fit our goals as they evolve and we future proof our technology stacks.

Contribute to visualizations of our work and strive for physical meanings/interpretations of the AI output Challenge the status quo continuously, with a main aim being to further our understanding of our data.

Master ambiguity in a way that can leverage creative insights while remaining grounded in your deliverables.

Generic Managerial Skills, If any:

Lead and mentor others in the team towards a common goal

Key Words to search in Resume:

AI systems, reinforcement learning, or autonomous systems, Python and experience with AI/ML frameworks (PyTorch, TensorFlow)

Education:

Bachelors/ Master’s degree in mathematics, Engineering, Physics, Computer    Science, or a related field (PhD in LLM or NLP research is preferred)

Key Skills

Education

Bachelor's or Master's degrees