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Data Scientist

WorkPlace

Full time
Experience
4–8 years
Location
Bangalore
Work mode
Not stated
Salary
₹24–28 LPA
Posted 2 months ago Last checked 1 hr ago

You apply on WorkPlace's website. CoreHRx takes you there after you sign in.

CoreHRx never asks candidates for money. If anyone does, .

Role at a glance

You will
  • 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…
  • The role requires strong hands-on programming skills and the ability to translate business requirements into practical AI solutions.
Experience
4–8 years
Must-have skills
Machine LearningPythonSQL

How well do your skills match this job?

Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.

Job description

Location: Bengaluru, Karnataka, India
Department: Data & AI
Compensation: INR 2500000 - 2800000 per year

Experience: 4–8 yrs

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

Key skills

Required

Machine LearningPythonSQL

Soft skills

CommunicationProblem Solving

Job market insights

340active Machine Learning jobs in Bangalore
1,512active Python jobs in Bangalore
857active SQL jobs in Bangalore
₹14L – ₹25L advertised yearly salary for IT Jobs in Bangalore (middle half of 288 posts that show a salary; median ₹18L)
2 more open jobs at WorkPlace

Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3145 that say).

Hiring most for IT Jobs in Bangalore

  • Bosch Group157 open jobs
  • Trigent Software Private Limited151 open jobs
  • Brillio115 open jobs

Jobs asking for Machine Learning in Bangalore also ask for

  • Python61%
  • AWS38%
  • Microsoft Azure31%
  • Google Cloud Platform (GCP)27%
  • SQL27%

From live job posts on CoreHRx, updated 1 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Data Scientist job?

The post states ₹24–28 LPA.

How much experience does this job need?

The post asks for 4–8 Yrs experience.

Where is this job based?

In Bangalore.

What kind of job is this?

It is a full time job.

How do I apply?

You apply on WorkPlace's website. CoreHRx takes you there after you sign in.

Python Interview Questions and Answers: 60 Questions from Easy to Hard

This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.

  • What is the difference between mutable and immutable types in Python?
  • What is the difference between a list and a tuple?
  • What is the difference between is and ==?
  • What are *args and **kwargs?

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