Gen AI/ML Developer

Key Responsibilities

• Model, build and test AI/ML based software that is subject to a wide variety of complex inputs.
• Use your expertise in LLMs and/or AI/ML agents to help drive our SW/tools stack while mAI/MLntAI/MLning 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/ML 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/ML outputs.
• Challenge the status quo continuously, with a mAI/MLn AI/MLm being to further our understanding of our data.
• Master ambiguity in a way that can leverage creative insights while remAI/MLning grounded in your deliverables.
• Lead and mentor others in the team towards a common goal

Qualifications and Required 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/ML 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/ML techniques, and Hybrid models are a plus.
• Knowledge of Full-Stack AI/ML 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.

Education & Experience:

• Bachelors/ Masters degree in mathematics, Engineering, Physics, Computer Science, or a related field (PhD in LLM or NLP research is preferred).
• 5+ years in in LLM development, AI/ML-driven automation, or NLP solutions.