We Are Hiring – Data Scientist | Machine Learning & MLOps

We are looking for a talented Data Scientist to work on advanced Machine Learning, MLOps, NLP and LLM applications.

Job Details:

  • Position: Data Scientist – Machine Learning & MLOps
  • Location: India – Remote
  • Job Type: Full-Time
  • Experience: 2–4 Years
  • Salary: ₹20 LPA – ₹35 LPA

Key Responsibilities

  • Design, build and optimize predictive ML models.
  • Perform Exploratory Data Analysis and feature engineering.
  • Deploy, monitor and maintain production-grade ML models.
  • Work with Databricks, MLflow and Unity Catalog.
  • Implement CI/CD pipelines for ML model versioning and retraining.
  • Work with BERT-family models and Hugging Face Transformers.
  • Develop NLP solutions including classification, NER and information extraction.
  • Build vector similarity search and embedding-based retrieval pipelines.
  • Work with LLM integration, RAG and prompt engineering.
  • Analyze large structured and unstructured datasets.
  • Collaborate with product, engineering and domain teams.

Required Qualifications

Education:
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics or a related field.

Experience:
2–4 years of hands-on experience in Data Science or Machine Learning, including production ML deployment.

Technical Skills

  • Python
  • pandas & NumPy
  • scikit-learn
  • PyTorch / TensorFlow
  • Databricks
  • MLflow
  • Unity Catalog
  • Hugging Face Transformers
  • BERT-family models
  • FAISS / Pinecone / Weaviate
  • SQL
  • AWS / GCP / Azure
  • Apache Spark

Good to Have

  • Healthcare or clinical trial data experience
  • CDISC / CDASH / SDTM
  • Trial2Vec
  • LLM fine-tuning
  • RAG pipelines
  • Prompt engineering
  • Healthcare AI compliance knowledge
  • Open-source or research contributions

Important

This position requires hands-on Machine Learning modelling and production deployment experience. Candidates with only SQL/BI experience or notebook-only ML experience may not be suitable.

Apply Now