Role - AI ML Developer.

Experience - 4 to 15 years Required Skills: Degree in computer science, artificial intelligence, or IT. Solid 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.

Build

Agentic AI solutions using LLMs, including tool/function calling, Model Context Protocol (MCP), memory, workflows, and orchestration. 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. Strong hands-on experience in end-to-end AI/ML engineering, including data preprocessing, feature engineering, model training, evaluation, and optimization for production use cases. Implement MLOps 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).

Experience in developing and deploying AI/Gen AI based systems in production. Provide technical guidance and mentorship to junior engineers and team members, fostering a culture of knowledge sharing and continuous learning.

📌 Walk-In Drive | AI ML Developer | August 08th | Bangalore (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru