We are seeking experienced Data Scientists / AI Engineers to design, build, and deploy production-grade AI and Generative AI solutions. The role requires expertise in Machine Learning, Deep Learning, NLP, and GenAI engineering (RAG, agent-based systems) along with hands-on cloud deployment and MLOps experience.
Open Positions
- Location: Hyderabad
Key Responsibilities
- Develop ML/DL models for real-world business problems
- Build NLP solutions (semantic search, entity recognition, text generation)
- Design and implement RAG systems and agent-based AI workflows
- Build LLM-powered enterprise applications
- Architect end-to-end AI/GenAI solutions
- Implement MLOps pipelines (CI/CD, monitoring, governance)
- Deploy solutions on GCP and has good experience in vertex AI
- Use Docker and Kubernetes for scalable deployments
- Collaborate with stakeholders and mentor junior team members
Mandatory Skills
- Machine Learning & Deep Learning (hands-on)
- Strong Python development
- NLP: semantic search, entity recognition, text generation
- Generative AI: RAG, Agentic workflows,
LangChain / LangGraph
- AI architecture & production deployment
- MLOps / AIOps practices
- Cloud platforms: GCP
- Containerization: Docker, Kubernetes
- AI governance and stakeholder management
Additional Expectations
- 812 Years: Architecture ownership, leadership, Solution Architect, Strong knowledge around GCP Vertex AI, and GenAI concepts building end to end application
- 4–7 Years: Strong hands-on development and deployment experience. Strong knowledge around GCP Vertex AI, and GenAI concepts building end to end application
Valuable to Have
- Vector Databases (Pinecone, FAISS, Azure AI Search)
- AI observability and evaluation frameworks
- Cost optimization for GenAI systems and token optimization techniques
What We Are Looking For
- Candidates with production-grade AI/GenAI experience
- Strong engineering mindset with deployment focus
- Ability to build scalable, enterprise-ready AI solutions