Intern supporting AI transformation at BMW Group's GenAI Self - Service Platform. Contributing to efficiency and compliance in a project environment with an international development team.
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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Support Experience Manager driving performance and improvement in customer support at Bumble through AI tools. Focus on workflow optimization and team integration.
Engage in a three - year PhD program focused on developing AI frameworks to enhance automotive product innovations. Collaborate with industry partners and research institutions in advanced engineering.
AI Trainer responsible for delivering training on AI and Cloud technologies with flexible scheduling. Engaging participants through webinars and workshops for an international media organization.
Principal Director leading applied AI initiatives at Aerospace Corporation focused on national security and advanced infrastructure. Driving innovation through AI and cloud integration for complex space systems.
Busperson role at ai Pazzi restaurant in Las Vegas, maintaining dining room standards and assisting servers. Providing excellent guest service and adhering to department policies.
Specialist in Gen AI Development at Sun Life working on innovative technologies and solutions. Collaborating with teams to implement GenAI technologies and improve existing processes.
Werkstudent in Condition Monitoring mit Embedded AI at Fraunhofer in Nürnberg. Developing solutions for embedded AI systems in a flexible part - time role.
Supports planning and organization of research projects in Human AI - Interaction at Fraunhofer Institute. Involves interdisciplinary teamwork and various research methodologies.
Specialist in Gen AI Development at Sun Life, a leading financial services company. Focusing on app development and design with cloud technologies and Gen AI applications.