Senior DBX AI/ML Engineer

Data ElephantCalgary, AB

About The Position

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.

Requirements

  • 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

Nice To Haves

  • Databricks certifications

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
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