AI/ML Engineer

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. 

Join our team as the expert you are now and create your future.

We are seeking an experienced AI/ML Engineer with expertise in both machine learning (ML) and Generative AI (GenAI) to join our Emerging Technology Practice. In this role, you will drive the development of cutting-edge AI models and solutions—from statistical modeling and predictive analytics to advanced generative and agentic applications.

You will work closely with business stakeholders to translate domain challenges into data-driven solutions, conducting analysis, developing models, and integrating AI into broader systems. While this is not a software engineering role, experience with end-to-end AI solution design, including integration and orchestration, is highly valued.
This role is ideal for a technically strong, hands-on data scientist who can work across the full model lifecycle and thrives in a client-facing, cross-functional environment.

Requirements:

• Design, build, and deploy machine learning and generative AI models to solve complex business challenges.
• Conduct exploratory data analysis and visualization to derive insights and inform modeling strategies.
• Leverage LLMs and GenAI for enterprise use cases—beyond basic summarization or text generation, focusing on multi-step reasoning, task orchestration, retrieval-augmented generation (RAG), and tool use integration.
• Develop solutions using agentic AI patterns and orchestration frameworks such as LangGraph, or similar.
• Collaborate with business users to translate their needs into AI-enabled solutions and communicate results in a clear, non-technical way.
• Support the integration of AI/ML models into production environments, including pipelines, APIs, and business applications.
• Apply best practices for model lifecycle management, including evaluation, versioning, deployment, and monitoring.

Preferences:

• 3+ years of applied experience in machine learning and/or generative AI development.
• Proficiency in Python and ML/AI frameworks such as scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, and LangGraph.
• Experience with leading cloud AI platforms and tools (e.g., Azure AI, AWS Bedrock).

Position Level

Associate

Country

India