Join Axians as a working student in low - code software development. Participate in the digital transformation with Mendix platform development.
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
Chef de Partie preparing hot and cold food items in a culinary setting. Overseeing kitchen operations and ensuring adherence to culinary standards while providing excellent guest service.
Leading AI implementation in data analysis to enhance business strategies at PayPay, a fintech company driving cashless payments in Japan.
Intern working on developing an AI assistant for electric drive systems at BMW in Munich. Collaborating on specifications, testing, and data analysis in a full - time capacity.
Werkstudent in Künstliche Intelligenz bei VAHLE Group, Unterstützung in Projekten und Schulungen. Engagiert in Forschung zu automatisierten Arbeitsweisen und Zusammenarbeit mit verschiedenen Fachbereichen.
Governance Analyst implementing AI governance processes at Sicredi. Responsible for ensuring compliance and transparency in AI model usage.
Analista de Governança de IA at Sicredi implementing governance processes for AI practices. Responsibilities include monitoring, documentation, and compliance with internal and external norms.
Coordinator leading Data Quality and AI Governance team at Sicredi. Focused on integrating data processes and ensuring ethical AI practices for effective decision - making.
Associate Director transforming workflows with AI - driven automation solutions at S&P Global. Leading client engagement and executing sophisticated automation strategies across multiple sectors.
Working student in Computer Vision / AI at IUNA AI Systems GmbH. Supporting the team with data preparation and software development in a high - impact environment.