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, clear manner

Who are we looking for?

* 6–9 years of experience in Data Science / Machine Learning

* Strong fund

📌 Lead Data Scientist (Hyderabad)
🏢 providence
📍 Hyderabad