Data Scientist
WorkPlace →Data Scientist at WorkPlace is a full time role based in Bengaluru, Karnataka, India. The listing states pay of ₹25,00,000–₹28,00,000 and asks for 4–8 yrs of experience. Listed skills: generative ai, python, machine learning, llm, rag and agentic ai. It was published on 20 August 2026 and was open at last check.
| Role | Data Scientist |
|---|---|
| Company | WorkPlace |
| Location | Bengaluru, Karnataka, India |
| Employment type | Full Time |
| Pay (as listed) | ₹25,00,000–₹28,00,000 |
| Experience asked | 4–8 yrs |
| Skills listed | generative ai, python, machine learning, llm, rag and agentic ai |
| Published | 20 August 2026 |
| Status | Open at last check |
Data Scientist – Gen AI
Location: Bangalore
Experience: 4–8 Years
CTC: ₹24–28 LPA + 10% Variable
Employment Type: Full-time
Job Summary
We are looking for an experienced Data Scientist – Gen AI with 4–8 years of experience in Generative AI, Machine Learning, Python, SQL, LLMs, RAG, and Agentic AI. The ideal candidate will be responsible for designing and developing AI/ML solutions using modern Generative AI technologies and building intelligent, scalable applications powered by Large Language Models.
The role requires strong hands-on programming skills and the ability to translate business requirements into practical AI solutions.
Key Responsibilities
- Design, develop, and deploy Generative AI and Machine Learning solutions for business use cases.
- Build and implement LLM-powered applications using state-of-the-art models and frameworks.
- Develop RAG (Retrieval-Augmented Generation) pipelines for knowledge-based AI applications.
- Design and implement Agentic AI solutions, including AI agents capable of reasoning, tool use, and task execution.
- Develop data processing, feature engineering, and model development workflows using Python and SQL.
- Experiment with different LLMs, prompting strategies, embeddings, vector databases, and retrieval techniques.
- Fine-tune and optimize AI/ML models where required.
- Evaluate LLM outputs and improve model accuracy, relevance, reliability, and performance.
- Develop and optimize AI pipelines for production environments.
- Work with cross-functional teams to understand business requirements and translate them into AI solutions.
- Conduct research and stay updated on emerging Gen AI, LLM, Agentic AI, and ML technologies.
- Troubleshoot model, data, and application-level issues and continuously improve AI solutions.
- Follow best practices related to AI development, data quality, security, scalability, and responsible AI.
Required Skills
- 4–8 years of experience in Data Science / Machine Learning / AI.
- Strong hands-on experience with Generative AI and LLMs.
- Strong programming skills in Python.
- Strong knowledge of Machine Learning concepts and algorithms.
- Hands-on experience building RAG-based applications.
- Practical experience with Agentic AI / AI Agents.
- Strong understanding of LLM architecture, prompting, embeddings, and vector search.
- Strong SQL skills and experience working with structured/unstructured data.
- Experience developing and deploying AI/ML solutions.
- Strong analytical, problem-solving, and communication skills.
Preferred Skills
- Experience with LLM frameworks and orchestration tools.
- Experience with vector databases and semantic search.
- Knowledge of model evaluation and LLM evaluation techniques.
- Experience with fine-tuning or adapting LLMs for specific use cases.
- Understanding of cloud-based AI/ML platforms.
- Experience building production-grade Gen AI applications.
- Knowledge of AI/ML APIs and integration with enterprise applications.
Candidate Profile
The ideal candidate should be a hands-on Gen AI Data Scientist with strong Python and ML fundamentals and practical experience building LLM, RAG, and Agentic AI solutions. Candidates should be comfortable working on end-to-end AI problems, from data preparation and experimentation to application development and production deployment.
Key Skills: Generative AI | Gen AI | Python | Machine Learning | LLM | RAG | Agentic AI | AI Agents | SQL | Data Science
Create a free OnJob profile to apply and see your AI match score before you apply. · Posted 20 Aug 2026.
Data Scientist at WorkPlace — questions answered
What does the Data Scientist role at WorkPlace pay?
The Data Scientist at WorkPlace listing states pay of ₹25,00,000–₹28,00,000 for the Bengaluru, Karnataka, India position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles, and the same listing asks for 4–8 yrs of experience.
Where is the Data Scientist role at WorkPlace based?
WorkPlace lists this Data Scientist role in Bengaluru, Karnataka, India, advertised as full time work at that location and asking for 4–8 yrs of experience. Larger employers sometimes cover several sites under one city name, so confirm the exact office with WorkPlace before you apply.
What skills does the Data Scientist role at WorkPlace require?
The Data Scientist at WorkPlace listing names generative ai, python, machine learning, llm, rag and agentic ai. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
How much experience do you need for the Data Scientist role at WorkPlace?
WorkPlace asks for 4–8 yrs of experience on this Data Scientist posting, alongside generative ai, python and machine learning. Employers commonly consider candidates slightly under a stated band when the listed skills line up.
Is the Data Scientist role at WorkPlace still open?
The Data Scientist posting at WorkPlace was open at OnJob's last check of the employer's careers page, having been published on 20 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Data Scientist role at WorkPlace?
Apply to the Data Scientist at WorkPlace role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile. Creating a profile is free and needs no card.
Explore more on OnJob
Hiring for a role like this?
Post a job on OnJob and reach AI-matched candidates.
