Job Title: Data Scientist ML, GenAI & Agentic AI

Position Summary

We are seeking a Data Scientist with a strong background in enterprise-scale machine learning, deep expertise in LLMs and Generative AI, and a transparent understanding of the evolving Agentic AI ecosystem. The ideal candidate has hands-on experience developing predictive models, recommendation systems, and LLM-powered solutions, and is passionate about leveraging cutting-edge AI to solve complex enterprise challenges.

This role will involve working closely with product, engineering, and business teams to design, build, and deploy impactful AI solutions that are both technically robust and business-aligned.

Key Responsibilities

ML & Predictive Systems Development
- Design, develop, and deploy enterprise-grade machine learning models
for recommendations, predictions, and personalization use cases.
- Work on problems such as churn prediction, intelligent routing, anomaly detection, and behavior modeling.
- Leverage techniques in supervised, unsupervised, and reinforcement learning as needed based on business context.





LLMs & Generative AI
- Build and fine-tune LLM-based solutions (e.g., GPT, LLaMA, Claude, or open-source models) for tasks such as summarization, semantic search, document understanding, and copilots.
- Deliver production-ready GenAI projects, applying techniques like RAG (Retrieval-Augmented Generation), prompt engineering, fine-tuning, and vector search (e.g., FAISS, Pinecone, Weaviate).
- Collaborate with engineering to embed LLM workflows into enterprise applications, ensuring scalability and performance.

Agentic AI & Ecosystem Engagement
- Contribute thought leadership and experimentation around Agentic AI architectures, task orchestration, memory management, tool integration, and decision autonomy.
- Stay ahead of trends in the open-source and commercial LLM/AI space, including LangChain, AutoGen, DSPy, and ADK-based systems.
- Develop internal PoCs or evaluate frameworks to assess v

📌 AI/ML Engineer (Hyderabad)
🏢 Softility
📍 Hyderabad