Join our Technology & Transformation practice as an AI/ML Engineer in Hyderabad. This role is instrumental in harnessing the power of data to drive strategic guidance and implementation for clients. You will be at the forefront of innovation, working with cutting-edge technologies like big data, cloud, cognitive computing, and machine learning to transform business intelligence, data management, and analytics capabilities.

This is an exciting opportunity to contribute to a global network, helping companies convert complex data into actionable insights and gain a competitive edge. We are focused on next-generation analytics and advanced technologies to deliver tangible business value.

Design and implement sophisticated Generative AI solutions, utilizing Python, LLMs, Prompt Engineering, RAG, and Vector Databases. Develop intelligent AI agents using frameworks like LangChain and Semantic Kernel for business process automation. Optimize AI models for enhanced accuracy and business impact. Build and maintain MLOps pipelines for seamless AI model deployment and lifecycle management. Establish robust AI guardrails, security protocols, and governance practices for responsible AI adoption.

Collaborate with cross-functional teams to architect scalable, production-ready AI applications. Design and deploy ML models for diverse use cases including prediction, classification, recommendation, and NLP. Execute comprehensive data preprocessing, feature engineering, and model training. Monitor model performance proactively and implement continuous improvement strategies. Deploy AI solutions across Azure, AWS, or hybrid cloud environments.

We are seeking a skilled AI/ML Engineer with expertise in Generative AI, LLMs, Prompt Engineering, RAG, and Vector Databases. Proficiency in AI Agent Development frameworks such as Semantic Kernel, LangChain, CrewAI, and AutoGen is essential. Experience with AI API Integration (OpenAI, Azure OpenAI, Anthropic, Gemini) and cloud platforms like AWS SageMaker is required. Strong understanding of Model Engineering & Operations, including MLOps, model deployment, and performance optimization, is crucial.

Familiarity with Data & Knowledge Systems, specifically Vector Databases and Graph Databases, is a plus. Knowledge of AI Governance & Security, including Responsible AI and AI Guardrails, is necessary. Demonstrated ability in Python-based AI Application Development and Automation is expected. Candidates should possess strong Technical Leadership, Agile Delivery experience, and mentoring capabilities.