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Data Scientist
Hashone Careers
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Data Scientist

at Hashone Careers

Agency job
4.5 - 9 yrs
₹6L - ₹24L / yr
Bengaluru (Bangalore)
Skills
skill iconPython
skill iconMachine Learning (ML)
Generative AI
Large Language Models (LLM)
Retrieval Augmented Generation (RAG)
SQL

Job Title: Data Scientist

Location: Bangalore (Hybrid/On-site depending on project needs)

About the Role

We are seeking a highly skilled Data Scientist to join our team in Bangalore. In this role, you will take ownership of data science components across client projects, build production-ready ML and GenAI-powered applications, and mentor junior team members. You will collaborate with engineering teams to design and deploy impactful solutions that leverage cutting-edge machine learning and large language model technologies.

Key Responsibilities

ML & Data Science

  • Develop, fine-tune, and evaluate ML models (classification, regression, clustering, recommendation systems).
  • Conduct exploratory data analysis, preprocessing, and feature engineering.
  • Ensure model reproducibility, scalability, and alignment with business objectives.

GenAI & LLM Applications

  • Prototype and design solutions leveraging LLMs (OpenAI, Claude, Mistral, Llama).
  • Build RAG (Retrieval-Augmented Generation) pipelines, prompt templates, and evaluation frameworks.
  • Integrate LLMs with APIs and vector databases (Pinecone, FAISS, Weaviate).

Product & Engineering Collaboration

  • Partner with engineering teams to productionize ML/GenAI models.
  • Contribute to API development, data pipelines, technical documentation, and client presentations.

Team & Growth

  • Mentor junior data scientists and review technical contributions.
  • Stay up to date with the latest ML & GenAI research and tools; share insights across the team.

Required Skills & Qualifications

  • 4.5–9 years of applied data science experience.
  • Strong proficiency in Python and ML libraries (scikit-learn, XGBoost, LightGBM).
  • Hands-on experience with LLM APIs (OpenAI, Cohere, Claude) and frameworks (LangChain, LlamaIndex).
  • Strong SQL, data wrangling, and analysis skills (pandas, NumPy).
  • Experience working with APIs, Git, and cloud platforms (AWS/GCP).

Good-to-Have

  • Deployment experience with FastAPI, Docker, or serverless frameworks.
  • Familiarity with MLOps tools (MLflow, DVC).
  • Experience working with embeddings, vector databases, and similarity search.



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