Job Details :

Role : Senior DS (ATA)

Experience : 7 - 10 Years

Mode of work : Hybrid Model

Work Location : Hyderabad

Role Overview :

- Analyse client data landscapes of varying quality and consistency, and design AI/ML solutions that fit within our existing product and solution offering.

- Build and maintain end-to-end GenAI and Agentic AI solutions RAG pipelines, LLM integrations, NLP workflows using LangChain, HuggingFace and FastAPI.

- Design, implement and maintain data infrastructure and pipelines supporting machine learning operations (ETL, PySpark, Databricks).

- Collect, clean and pre-process large multi-source datasets to ensure accuracy and consistency.

- Implement and tune machine learning and deep learning models using TensorFlow, PyTorch, scikit-learn and Keras.

- Evaluate LLM and RAG solution quality using frameworks such as RAGAS; conduct ad-hoc analysis to answer specific business questions.

- Develop and integrate APIs to expose AI/ML capabilities to downstream applications.

- Build and maintain dashboards and monitoring tools (Power BI or similar) to track key performance indicators.

- Deploy and operate solutions on Azure and AWS using Docker, App Insights and standard DevOps practices.

- Identify and evaluate new technologies to improve performance, maintainability and reliability of existing ML systems.

- Collaborate with business stakeholders, data scientists, software engineers, QA and DevOps teams; communicate insights and recommendations clearly.

Roles & Responsibilities :

- Overall 5+ years of experience in AI/ML implementation, data engineering and software development.

- Hands-on end-to-end delivery experience across GenAI, Agentic AI, NLP, RAG, LangChain, HuggingFace, RAGAS, FastAPI and OCR.

- Strong proficiency in Python with proven API integration and software engineering discipline.

- Experience working with cloud platforms Microsoft Azure and AWS including Databricks, Docker and App Insights.

- Working knowledge of ML/DL frameworks : TensorFlow, PyTorch, scikit-learn, Keras, Pandas.

- Experience with data technologies data wrangling, ETL/data integration, data profiling, data quality and data discovery; PySpark exposure.

- Familiarity with metadata management tools and visualisation platforms such as Power BI.

- Clear understanding of data engineering, classical ML, AI models and LLMs.

- Strong analytical and problem-solving skills, with all-round communication and collaborative working style.

- Bachelor's/Master's in Computer Science or Information Science (B. Tech, MCA, MS Computers).