AI ML Engineer Senior Associate - Remote

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.

Key Responsibilities

Design 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

Support project management tasks, including planning, tracking deliverables, coordinating cross-functional teams, and ensuring alignment with client timelines and objectives

Assist in preparing status reports, managing stakeholder communications, and identifying risks or issues in project execution

Required Qualifications

3+ years of hands-on experience in AI/ML development or intelligent application engineering

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field

Experience in Python

Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)

Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)

Preferred Qualifications

5+ years of hands-on experience in AI/ML development or intelligent application engineering

Proficiency in Python

Strong 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

Strong Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)

Familiarity with cloud-based ML