We are looking for a Senior AI/ML Engineers to join our team, that sit at the intersection of software engineering, data engineering, and applied AI.
This role is ideal for someone who enjoys building end-to-end solutions - from data pipelines and backend systems to AI-powered applications - and wants to work on real-world industrial use cases.
You will play a key role in designing and delivering modern AI-enabled solutions that help our clients transform legacy workflows into intelligent, scalable systems.
In this position, you’ll contribute to a variety of impactful client projects, including:
- Building AI-powered anomaly detection systems for operational and industrial data
- Modernizing asset management workflows
- Developing natural language interfaces for querying enterprise and operational data
- Designing and implementing AI agents and copilots for business users
- Creating scalable data pipelines and ML workflows in cloud environments
- Enabling real-time and batch data processing for analytics and AI use cases
Responsibilities:
- Design, build, and deploy end-to-end AI/ML solutions in production environments
- Develop robust backend systems and APIs to support AI-driven applications
- Build and maintain data pipelines and feature engineering workflows
- Implement and operationalize machine learning models (training, deployment, monitoring)
- Work with modern AI tooling (LLMs, agents, orchestration frameworks)
- Collaborate with clients to translate business problems into technical solutions
- Contribute to architecture decisions and best practices across projects
- Mentor client team members and contribute to internal capability building
Required Skills & Experience
- 5+ years of experience in software engineering, data engineering, or ML engineering
- Strong programming and querying skills (Python, SQL, PySpark)
- Experience building production-grade systems (APIs, microservices, pipelines)
- Hands-on experience with AI/ML workflows and model deployment
- Familiarity with modern AI/GenAI tooling and concepts
- Experience with cloud platforms (Azure, AWS, Databricks)
- Strong understanding of data engineering concepts (ETL, data modeling, pipelines)
- Strong familiarity with the Databricks ecosystem (including AgentBricks, Genie - Databricks certifications strongy preferred)
- Experience with LLM frameworks and agent-based architectures
- Modern developer tooling (Cursor, AI-assisted development, Langraph, "vibe coding")
- Experience working with industrial, utilities, or energy sector data
This role presents an exciting opportunity to work on practical, high-impact AI use cases - not just prototypes, shape how AI is applied to client environments, and change the game on traditional processes and platforms. Come join a growing organization helping clients take a new, lean and value-driven approach to data and engineering!
