As an experienced AI Engineer you’ll work on real-world AI solutions that go beyond experimentation — building and deploying production-grade models that make a measurable impact. A key focus will be on predictive maintenance and AI-driven optimization projects across diverse domains.
Responsibilities
- Design, develop, and deploy AI/ML solutions, with a focus on predictive analytics and maintenance use cases.
- Experiment with and implement modern AI advances — including LLMs, MCP architectures, and vector database integrations.
- Collaborate with software engineers to build reusable, scalable AI components.
- Work closely with clients to understand domain challenges and translate them into practical solutions.
Requirements
- 5+ years of experience in Data Science and Machine Learning, including hands‑on production delivery.
- Proven track record developing predictive maintenance or similar impact‑driven AI systems.
- Solid working knowledge of modern AI tooling and frameworks (e.g., LLMs, vector DBs, MCP).
- Strong understanding of software engineering principles and reusable solution design.
Desired Attributes
- A team player with a zeal and passion to learn new technologies.
- Analytical mindset to assess the competence of projects.
- Proactive approach to solve problems and interact with other team members and clients.