E Source · 17 hours ago
AI / ML Engineer - REMOTE
United States
Full-time
Remote
Mid, Senior Level
$115K/yr - $130K/yr
7+ years expE Source is a company that combines industry-leading research, data science, and consulting to help utilities make better data-driven decisions. As a Senior AI/ML Engineer, you will collaborate with cross-functional teams to design, develop, and deploy scalable software products that incorporate machine learning and AI models, contributing to the development of cutting-edge ML and AI products for sustainable utilities.
EnergyInformation TechnologyEnergy EfficiencyInformation Services
No H1B
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
Qualification
Required
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
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
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
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; and medical and dependent-care flexible spending plans.
A flexible time off (FTO) program where you can take as many paid days off per year as you need, with manager approval, while fulfilling your work obligations and ensuring proper coverage of your responsibilities.
Flexible schedules, flexible work locations, and a paid parental leave benefit.
A 401(k)/RRSP plan with a 3% employer match.
Company
E Source
E Source provides independent research, advisory, and information services to utilities, major energy users, and other key players in the
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2019-06-24Acquired
Leadership Team
Adam Stotz, PhD
Chief Technology Officer
Norv Clontz
Vice President, Data Strategy & Innovation
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