Data Scientist

Bounteous · Bangalore

Source and collection record

Last observed by our collector: 8 October 2026 at 11:12 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 6cc871e8-b2ac-4942-9c0f-d57b62933a69

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

Responsibilities- Hands on experience in most of the following: AI/ML Projects, Developing Supervised and Unsupervised Machine Learning Algorithms, Deep Learning Models & Techniques, NLP, LLMs. Proficiency in the entire Predictive Modelling life cycle - From exploratory data analysis, data cleaning, Feature Engineering to Model Building and Validation, Operationalization and Scalability and establishing decision strategies, Experimentation Setup (hypothesis testing, measurements) etc. Experience in working with finetuning Large Language Models (LLMs), Prompt Engineering, RAG Applications, Vector Databases, Transformer Architectures. Programming skills in Python, SQL, and hands-on experience using cloud technology platforms like AWS or Azure. Demonstrated expertise in synthesizing and presenting research and technical findings to diverse audiences. GOOD TO HAVE SKILLS Exposure to AI-centric tools like PyTorch, Langchain, Langgraph is desirable Familiarity with agentic AI concepts (autonomous planning, reasoning, and multi-step actions) and tools like LangChain, AutoGen, or similar orchestration frameworks. Ability to test and deploy AI agents to automate routine tasks Ability to partner closely with a diverse set of business stakeholders to identify needs and deliver AI/ML solutions

Collected experience requirement

4-9 years