Senior AI/ML Engineer building AI solutions for clients in industrial sectors. Collaborating on impactful projects with modern AI tooling and data pipelines.
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, Langraph, "vibe coding")
Experience working with industrial, utilities, or energy sector data
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