Profile :Data Scientist - Machine Learning, GenAI & LLM

Experience : 3 +Years

Location : Delhi

Mandatory Skills : PyTorch or TensorFlow,LLMs,Python,NumPy, Scikit-learn,SQL and PostgreSQL,LLM applications, prompt engineering

Key Responsibilities

- Develop and deploy predictive models for forecasting, classification, anomaly detection, segmentation, and recommendation.
- Build RAG pipelines covering ingestion, embeddings, vector retrieval, reranking, and grounded generation.
- Evaluate proprietary and open-source LLMs for accuracy, latency, cost, safety, and hallucination risk.
- Apply statistical inference, hypothesis testing, experimentation, and feature engineering to business problems.
- Build time-series forecasting, market basket, and retail decision-intelligence solutions as relevant.
- Expose models through APIs and collaborate with engineering teams on production deployment.
- Establish reproducible evaluation, model monitoring, versioning, and retraining practices.

Required Skills & Qualifications

- 3-5 years of applied data science or machine learning experience.
- Advanced Python skills including Pandas, NumPy, Scikit-learn, and statistical analysis.
- Strong foundations in probability, statistics, experimentation, model validation, and interpretable ML.




- Hands-on PyTorch or TensorFlow experience and familiarity with transformer-based NLP.
- Practical experience with LLM applications, prompt engineering, embedding search, and RAG evaluation.
- Proficiency in SQL and PostgreSQL for data extraction, feature development, and model data management.
- Experience with vector retrieval using pgvector, FAISS, or comparable vector search tools.

Job Types: Full-time, Permanent

Pay: ₹800,000.00 - ₹1,500,000.00 per year

Advantages:

- Flexible schedule
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund

Application Question(s):

- What is your current CTC?
- What is your expected CTC?
- What is your official Notice period?
- Are you available for F2F Interview ?

Experience:

- SQL and PostgreSQL for data extraction, feature development: 3 years (Preferred)
- Data Scientist : 3 years (Preferred)
- Machine Learning, GenAI & LLM : 3 years (Preferred)
- NumPy, Scikit-learn: 3 years (Preferred)
- PyTorch or TensorFlow, RAG : 3 years (Preferred)
- LLM applications, prompt engineering, embedding search: 3 years (Preferred)

Location:

- Delhi (Preferred)

Work Location: In person

📌 Data Scientist (Delhi)
🏢 Bigbell
📍 Delhi