Generative AI Lead

Generative AI Lead 6 to 10 years Location : Bangalore 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. 1 Model, build and test AI based software that is subject to a wide variety of complex inputs. 2 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) 3 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 4 Use your knowledge to prototype new AI solutions that fit our goals as they evolve and we future proof our technology stacks. 5 Contribute to visualizations of our work and strive for physical meanings/interpretations of the AI outputs. 6 Challenge the status quo continuously, with a main aim being to further our understanding of our data. 7 Master ambiguity in a way that can leverage creative insights while remaining grounded in your deliverables. 8 Lead and mentor others in the team towards a common goal