Senior DBX AI/ML Engineer

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!