AI Campaign Process Designer at E.ON developing AI - based campaigns for customer retention and activation. Collaborating with data analytics teams to enhance campaign effectiveness.
About the role
- AI/ML Engineer developing advanced AI solutions and applications for Huron's consultancy projects. Collaborating with cross-functional teams to drive innovation and transformation in client engagements.
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.
Requirements
- Atleast 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.
Benefits
- medical, dental, and vision coverage to employees and dependents
- a 401(k) plan with a generous employer match
- an employee stock purchase plan
- a generous Paid Time Off policy
- paid parental leave and adoption assistance
- Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year.
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