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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full time