Data Engineer ML

Required skills:
"Strong experience in AI/ML development (e.g., Python, ML frameworks, data pipelines)
Hands-on experience with LLMs and generative AI (e.g., prompt engineering, orchestration, APIs)
Proven experience building and deploying production-grade solutions (MLOps, CI/CD, monitoring)
Solid experience with cloud platforms, specifically Azure and AWS
Strong knowledge of APIs, microservices, and system integration
Experience working with large and complex datasets
Proven ability to lead technical initiatives and deliver end-to-end solutions
Strong problem-solving and stakeholder communication skills"
Nice to have skills:
"Experience in the energy or utilities sector (e.g., trading, generation, distribution, asset management)
Familiarity with time-series data, forecasting, or optimization models
Experience with IoT/industrial data environments
Knowledge of data engineering tools (e.g., Spark, Databricks)
Exposure to governance, risk, and compliance in AI
Experience or familiarity with AI-assisted development tools (e.g., Copilot, Claude Code)"