Senior Engineering Consultant

Four or more years of experience in cognitive analytics and AI Modeling.

Must have experience working in a collaborative environment with global teams to drive AI solutioning of business problems and implement highly optimized AI algorithms.

Must have hands-on experience in large-scale distributed systems capable of performing end-to-end AI. training and SLM & LLM modeling includes orchestration, fine tuning, model serving in production environment (batch/real time).

Proven track record of designing, developing and deploying agentic solutions at scale with measurable results mapped to business goals

Must be able to communicate complex model designs and outcomes in business terms to a non-technical audience.

Must have Knowledge of GPU/CPU architecture and distributed computing.

Must have working knowledge in advance Prompt engineering and optimizations techniques.

Must have Exposure to large-scale AI training, understanding of the compute system concepts. (latency/throughput bottlenecks, pipelining, multiprocessing etc) and related performance analysis and tuning.

Must have experience in Research and Development: Stay up-to-date with the latest advancements in generative AI, deep learning, and related fields. Contribute to the research and development of novel generative models, exploring new algorithms and methodologies.

• Must have good understanding and ability to explain both the code and the underlying math used in algorithms/models. Must have Proficiency in programming languages such as C/C++, Python, Java, debugging, performance analysis and relevant AI libraries/frameworks (TensorFlow, PyTorch, etc.).