5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models.
Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
Familiarity with deploying model for large scale inferencing & optimizations.
Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure
Knowledge of Agent technology
Experience on AWS Bedrock AI models.
Experience in building Conversational AI agents
Worked in Finance domain projects
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions