Lead Machine Learning Engineer at Datatonic, shaping AI and Data solutions for global businesses. Oversee ML project delivery and mentor engineering talent remotely from Canada.
About the role
- Senior AI/ML Engineer designing and delivering AI-enabled solutions for clients. Collaborating on impactful industrial projects, including anomaly detection systems and AI-driven applications.
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
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, "vibe coding")
- Experience working with industrial, utilities, or energy sector data
Benefits
- Competitive salary
- Flexible working hours
- Professional development budget
- Remote work options
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