Job Title: Data Scientist – Generative AI, LLM, NLP & Machine Learning
Location: Pune
Experience Level: 4-7 years
We are looking for a talented Data Scientist with expertise in Generative AI, Large Language Models (LLMs), NLP, and Machine Learning to join our growing AI team. The ideal candidate will have hands-on experience building LLM-powered applications, developing RAG solutions, fine-tuning foundation models, and deploying AI solutions at scale.
Key Responsibilities
- Design, develop, and deploy end-to-end AI/ML solutions.
- Build LLM-powered applications using LangChain, LlamaIndex, OpenAI, Azure OpenAI, or similar frameworks.
- Develop and optimize prompt engineering strategies to improve model accuracy and reliability.
- Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases such as FAISS, Pinecone, Chroma, or Weaviate.
- Fine-tune and evaluate LLMs including GPT, Llama, Mistral, Claude, and Gemini.
- Implement structured output validation and hallucination mitigation techniques using Pydantic and output parsers.
- Build NLP solutions for:
- Named Entity Recognition (NER)
- Text Classification
- Sentiment Analysis
- Information Extraction
- Document Summarization
- Question Answering
- Semantic Search
- Process and analyze large-scale unstructured data from documents, PDFs, emails, and other enterprise sources.
- Design, train, evaluate, and deploy supervised and unsupervised machine learning models.
- Perform feature engineering, model selection, hyperparameter tuning, and model validation.
- Build and maintain scalable ML pipelines from data ingestion to production deployment.
- Monitor model performance and address data drift through continuous optimization.
- Develop REST APIs using FastAPI or Flask.
- Work closely with engineering, product, and business teams to deliver AI-driven solutions.
- Perform exploratory data analysis (EDA) and communicate insights through data visualization and reporting.
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 4–7 years of hands-on experience in Data Science, Machine Learning, or AI roles.
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn).
- Experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI, or Azure OpenAI.
- Hands-on experience with Prompt Engineering, RAG, and LLM application development.
- Strong knowledge of NLP libraries including Hugging Face Transformers, spaCy, and NLTK.
- Experience with Deep Learning frameworks such as PyTorch or TensorFlow.
- Experience with Pydantic for structured outputs and data validation.
- Proficiency in SQL and Vector Databases such as FAISS, Pinecone, Chroma, or Weaviate.
- Experience working with cloud platforms (AWS, Azure, or GCP).
- Familiarity with Git, Docker, CI/CD, FastAPI, and Flask.
Preferred Skills
- OCR and document processing experience (Tesseract, Google Vision API, PyMuPDF).
- Familiarity with MLOps tools such as MLflow, Kubeflow, or Weights & Biases.
- Experience with Kubernetes and containerized deployments.
- Knowledge of Apache Spark or distributed computing frameworks.
- Financial Services domain experience (Trade Settlement, Risk, Compliance, Fraud Detection).
- Open-source contributions or AI/ML research publications.
Employee Benefits:
Group Medical Insurance
Cab facility
Meals/snacks
Continuous Learning Program
Company Profile:
Stratacent is a Global IT Consulting and Services firm, headquartered in Jersey City, NJ, with global delivery centres in Pune and Gurugram plus offices in USA, London, Canada and South Africa.
We are a leading IT services provider focusing in Financial Services, Insurance, Healthcare and Life Sciences. We help our customers in their transformation journey and provides services around Information Security, Cloud Services, Data and AI, Automation, Application Development and IT Operations.
URL - http://stratacent.com
Stratacent India Private Limited is an equal opportunity employer and will not discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, age, sex, national origin, ancestry, handicap, or any other factor protected by law.
