What will you be responsible for?

We are looking for a Data Scientist to join the DwX (Digital Workplace
Experiences) team to build and enhance AI/ML solutions, with a focus on LLM
fine-tuning, model evaluation, and AI-driven use cases across HR, Finance, and
Enterprise workflows.

This role requires a solid foundation in machine learning, data engineering
basics, and Generative AI concepts, with hands-on experience in developing and
improving models for real-world business problems.
Develop, fine-tune, and optimize machine learning and LLM-based models for
enterprise use cases (chatbots, automation, insights)
Work on prompt engineering, fine-tuning techniques, and model evaluation
frameworks
Implement RAG (Retrieval-Augmented Generation) patterns using enterprise data
sources
Experiment with different models (OpenAI, open-source LLMs) to improve
performance and accuracy
Build and deploy supervised/unsupervised ML models and NLP solutions
Perform data analysis, feature engineering, and model validation




Apply statistical techniques to identify patterns and generate insights
Continuously improve models based on feedback and evaluation metric

What would your day look like?
Work closely with data engineering teams to consume clean, reliable datasets
Understand basics of data pipelines, data modeling, and cloud platforms
(Azure/Snowflake)
Support integration of AI models into scalable data/AI platforms
Assist in deploying models into production (batch or API-based)
Support monitoring, performance tuning, and continuous improvement of models
Contribute to ML/LLM lifecycle practices (experimentation → deployment →
evaluation)
Work with product, business, and engineering teams to understand
requirements
Translate business problems into data science solutions
Present insights and model outcomes in a simple, explicit manner

Who are we looking for?
6–9 years of experience in Data Science / Machine Learning
Robust fund

📌 Lead Data Scientist Hyderabad
🏢 providence
📍 Hyderabad