E Source is looking to drive meaningful impact in the utility industry by leveraging AI and ML solutions to empower sustainable decisions
Requirements
- Strong programming skills in Python, with experience developing reusable packages and automation tools
- Familiarity with Databricks for scalable data processing and collaborative analytics
- Solid understanding of machine learning systems design concepts, 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 tools and frameworks (e.g., AutoGen, Hugging Face, LangChain, LangGraph, LlamaIndex) and their integration into enterprise pipelines
- Experience developing or evaluating 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 the implementation of ML/AI algorithms and data-processing pipelines
- Contribute to the design of AI systems, including components for retrieval-augmented generation (RAG), LLM integration, and agent-based workflows
- Develop agentic evaluation and monitoring frameworks to assess model reasoning, consistency, and fairness
- Evaluate database design and create optimized performance queries for efficient data processing and retrieval
- Break down complex MLE and AI tasks into manageable user and technical stories, ensuring efficient and effective implementation
- Ensure high-quality test coverage of ML code and participate in peer reviews to provide valuable recommendations
Other
- Master’s degree in computer science, software engineering, data science, or a related field (PhD preferred)
- Minimum of 7 years of professional experience designing, developing, and deploying machine learning software products independently and collaboratively
- Excellent problem-solving and analytical skills, with the ability to break down complex tasks into actionable steps
- Strong communication and collaboration skills, with a track record of working effectively in cross-functional teams
- Applicants must be authorized to work for any employer in the US or Canada
