Description

Key Skills: Sci-Kit Learn, Python, Pytorch, LLM, Data modeling

Roles and Responsibilities:

• Design and implement scalable ML, generative AI, and agentic architectures involving multi-step reasoning and tool integration.
• Build and maintain data pipelines to support machine learning and AI workflows.
• Utilize language models such as GPT, Qwen, or Google Gemini to develop hybrid solutions.
• Collaborate effectively with both technical and non-technical stakeholders, clearly explaining AI-driven decisions and system behavior.
• Manage the end-to-end AI product lifecycle, from ideation and prototyping to deployment and iterative improvement.
• Stay updated with advancements in AI, machine learning, and product development, fostering innovation and practical impact.
• Demonstrate strong ownership and accountability with a proactive approach to problem-solving.

Skills Required:

• Strong proficiency in Python, Sci-Kit Learn, and Pytorch
• Experience with data modeling and LLM workflows
• Knowledge of building ML, generative AI, and agentic AI architectures
• Ability to design and maintain data pipelines for AI/ML systems
• Familiarity with language models like GPT, Qwen, or Google Gemini
• Strong analytical, problem-solving, and debugging skills
• Experience managing AI product lifecycle from prototyping to deployment
• Excellent collaboration and communication skills to work with stakeholders

Education: B.Tech

Key Skills

Education

Any Graduate