TC
AL/ML Developer
Accepting applicationsTata Consultancy Services · Pune City, Maharashtra, India
Full-Time Mid_senior AIGanJavaPythonai
Posted
2d ago
Category
Test
Experience
Mid_senior
Country
India
WALK IN DRIVE - Pune
Role-AL/ML Developer
Exp Range- 3 to 10 Years
Date- 13-June--26
Location-TCS Sahyadri Park 1 Plot No. 2 & 3, Phase 3, Hinjewadi Rajiv Gandhi Infotech Park, Pune, Maharashtra 411057.
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.
· 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.
· 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.
· Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
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Role-AL/ML Developer
Exp Range- 3 to 10 Years
Date- 13-June--26
Location-TCS Sahyadri Park 1 Plot No. 2 & 3, Phase 3, Hinjewadi Rajiv Gandhi Infotech Park, Pune, Maharashtra 411057.
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.
· 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.
· 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.
· Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
Show more Show less