[Remote] AI / ML Engineer
Note: The job is a remote job and is open to candidates in USA. E Source is a research, data/analytics, and technology focused professional services firm in the utility industry. They are seeking a Senior AI/ML Engineer to develop and deploy machine learning solutions that drive sustainable decisions within the utility sector, collaborating with cross-functional teams to create innovative AI products.
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
- Stay updated on the latest advances in machine learning engineering, generative AI, and AI system orchestration, and incorporate relevant practices into our workflows
- Contribute to continuous delivery and Agile development processes, adhering to best practices in ML and AI engineering
Skills
- Master's degree in computer science, software engineering, data science, or a related field
- Minimum of 7 years of professional experience designing, developing, and deploying machine learning software products independently and collaboratively
- Strong programming skills in Python, with experience developing reusable packages and automation tools
- 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
- 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
- Stay updated on the latest advances in machine learning engineering, generative AI, and AI system orchestration, and incorporate relevant practices into our workflows
- Contribute to continuous delivery and Agile development processes, adhering to best practices in ML and AI engineering
- PhD preferred
- Familiarity with Databricks for scalable data processing and collaborative analytics
- Experience developing or evaluating agentic AI systems, AI orchestration, or AI-assisted decision-making workflows is an asset
- Knowledge or experience in the utility, power, or energy sectors is a plus
- Deep knowledge in Databricks tech stack for AI and data engineering is a plus
Benefits
- Excellent insurance options, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; medical and dependent-care flexible spending plans, and paid parental leave.
- A flexible time off (FTO) policy that provides paid time away from work, approved by your manager, while ensuring business needs, workload commitments, and appropriate coverage are maintained.
- A 401(k)/RRSP plan with a 3% employer match.
- Annual bonus
- This role will be 100% remote, with infrequent travel (generally 1–2 times per year).
Company Overview