Posted:3 days ago|
Platform:
Work from Office
Full Time
. Strong knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP)
. Design, implement, and optimize generative AI architectures and models
. Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets, ensuring data quality and integrity for model training
. Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operational efficiency
. Fine-tune and optimize AI models for specific applications, focusing on improving accuracy, efficiency, and scalability
. Experience of cloud-based platforms (e.g., AWS, Azure, GCP) to develop and deploy scalable AI solutions, ensuring high availability and performance
. Implement MLOps, LLMOps, AgentOps best practices for continuous integration and deployment (CI/CD) of AI models, including monitoring, logging, and version control
. Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras)
. Knowledge of LangChain, Phoenix, MLFlow, LangGraph, Google Agent Development Kit
Tata Consultancy Services
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