The organization is looking to design, develop, and deploy advanced machine learning and AI solutions to support utility-focused applications, enabling scalable, intelligent systems for utilities to make data-driven decisions.
Requirements
- Strong programming skills in Python, including developing reusable packages and automation tools.
- Familiarity with Databricks for scalable data processing and collaborative analytics.
- Understanding of machine learning systems design, including model lifecycle management, MLOps, and scalable inference.
- Hands-on experience with cloud infrastructure (Azure, AWS, or GCP), containerization, and CI/CD pipelines.
- Proficiency with distributed computing frameworks, machine learning packages, and both relational and nonrelational databases.
- Familiarity with generative AI frameworks (e.g., AutoGen, Hugging Face, LangChain, LangGraph, LlamaIndex) and their integration into enterprise pipelines.
- Experience with agentic AI systems, AI orchestration, or AI-assisted decision-making workflows is an asset.
Responsibilities
- Collaborate with cross-functional teams to design, develop, and deploy scalable software products that incorporate machine learning and AI models.
- Build reusable Python packages to support ML/AI algorithms and data-processing pipelines.
- Contribute to the design of AI systems, including retrieval-augmented generation, LLM integration, and agent-based workflows.
- Develop evaluation and monitoring frameworks to assess model reasoning, consistency, and fairness.
- Evaluate database design and create optimized queries for efficient data processing and retrieval.
- Break down complex MLE and AI tasks into manageable user and technical stories.
- Ensure high-quality test coverage of ML code and participate in peer reviews.
Other
- Master’s degree in computer science, software engineering, data science, or related field (PhD preferred).
- Minimum of 7 years of professional experience designing, developing, and deploying machine learning software products.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Knowledge or experience in the utility, power, or energy sectors is a plus.
