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 setting ResponsibilitiesDesign and develop AI-powered systems using both traditional ML and generative AI techniques including prompt engineering fine-tuning and embeddings Build intelligent applications and agents that can perform tasks autonomously or interactively using frameworks like LangGraph AutoGen CrewAI or similar Create modular well-documented APIs and service components e g using FastAPI or Flask to enable model integration and consumption Develop and manage data pipelines including data collection transformation and quality assurance to support model training Implement observability and evaluation mechanisms to monitor AI system behavior including accuracy drift reliability and task-level reasoning Collaborate with software engineers data scientists and solution architects to ensure seamless design development and transition to production Support rapid experimentation as well as robust deployment pipelines depending on the maturity of each use case Stay informed on the latest trends in GenAI AI agents orchestration protocols and evaluation frameworks to continuously evolve our capabilities Preferred QualificationsAtleast 4 years of hands-on experience in AI ML development or intelligent application engineering Proficiency in Python and familiarity with modern ML AI libraries e g scikit-learn PyTorch TensorFlow OpenAI APIs Experience building APIs or backend services using FastAPI Flask or equivalent frameworks Exposure to agent frameworks e g LangGraph AutoGen and vector databases Experience with orchestration standards or tools such as MCP or agent routing protocols is a plus Familiarity with cloud platforms Azure AWS and containerization tools Docker Familiarity with cloud-based ML platforms such as Azure Machine Learning AWS SageMaker or Google AI ML services Experience with MLOps pipelines CI CD for model delivery or model monitoring is a plus Knowledge of AI system evaluation observability or prompt performance testing is a plus Ability to work on cross-functional teams balance multiple projects and communicate effectively with technical and non-technical audiences Cloud certifications in AI ML services Azure AWS or Google Cloud is a plus Bachelor s degree in computer science Engineering Data Science or a related field Position Level Associate Country India

📌 Ai Associate (Karnataka)
🏢 Huron Consulting Group
📍 Karnataka