Senior DBX AI/ML Engineer

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🔥 19 hours ago

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Data Elephant

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Data Elephant is a Vancouver-based data and analytics consultancy founded in 2022 that helps organizations modernize data infrastructure and platforms to enable self-service reporting, advanced analytics, AI, and machine learning. They offer end-to-end services including data strategy, cloud migration, data engineering (warehouses, lakes, lakehouses), governance, BI, MLOps, and GenAI proof-of-concept and training, partnering with cloud and analytics providers like AWS, Databricks, and Microsoft. Data Elephant serves enterprise clients across industries (energy, mining, finance, transportation, retail, sports, public sector) and positions itself as a trusted advisor delivering measurable business outcomes through collaboration and long-term partnerships.

📋 Description

• 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

🎯 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 strongly 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

🏖️ Benefits

• Health insurance • Professional development opportunities