Role Overview
We are looking for a hands-on Data Scientist with 3+ years of experience in Machine Learning and Deep Learning, along with practical exposure to modern LLM ecosystems. The ideal candidate has strong problem-solving and analytical skills who combines data modeling with engineering rigor and is comfortable building end-to-end AI systems; from experimentation to production deployment.
Key Responsibilities
- Design, develop, and deploy ML/DL models for real-world business problems
- Build and optimize deep learning models using frameworks like PyTorch or TensorFlow
- Work with Large Language Models (LLMs) for tasks such as prompting, fine-tuning.
- Implementing instruction fine-tuning using various techniques and frameworks viz. LoRA, QLoRA, PEFT, Unsloth, etc.
- Develop and manage agentic workflows and LLM-powered pipelines
- Collaborate with engineering teams to productionize models on cloud platforms
- Work with structured and unstructured data, including document processing pipelines
- Ensure scalability, performance, and reliability of deployed models
Required Skills & Qualifications
- 3+ years of experience in Machine Learning and Deep Learning
- Strong proficiency in Python
- Hands-on experience with PyTorch and/or TensorFlow
- Solid understanding of ML fundamentals (training, evaluation, optimization, tuning)
- Practical experience with LLMs:
- ○ Prompt engineering○ Instruction fine-tuning (PEFT, LoRA, QLoRA, Unsloth)○ Building agentic workflows
- Experience working with cloud platforms (AWS / GCP / Azure)
Good to Have
- Experience with Apache Beam or similar big data processing frameworks
- Exposure to Document AI and Intelligent Document Processing (IDP) systems
- Experience with OCR pipelines, information extraction, or real estate/financial document workflows
- Familiarity with MLOps practices (CI/CD, model monitoring, MVC, DVC)
What We Value
- Ownership mindset with strong execution ability
- Ability to work across research and engineering boundaries
- Pragmatic approach to solving business problems using AI
- Clear communication and collaboration skills
Outcome Expectations
- Deliver production-ready ML/LLM solutions
- Improve model performance and system efficiency over time
- Contribute to scalable AI architecture and reusable components
Pay: ₹3,500,000.00 - ₹4,000,000.00 per year
Benefits:
- Health insurance
- Life insurance
- Provident Fund
Experience:
- Data science: 3 years (Required)
- Machine learning: 3 years (Required)
- Deep learning: 3 years (Required)
- Python: 3 years (Required)
- Data modelling: 3 years (Required)
- LLM: 3 years (Required)
Work Location: In person