About the Opportunity:
The organization delivers research, data science, and consulting services to help utilities make data-driven decisions that benefit customers, business outcomes, and sustainability. The Senior AI/ML Engineer will design, develop, and deploy advanced machine learning and AI solutions to support utility-focused applications, collaborating with cross-functional teams to enable scalable, intelligent systems.
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.
Stay updated on advances in machine learning engineering, generative AI, and system orchestration.
Contribute to continuous delivery and Agile development processes in ML and AI engineering.
Requirements:
Masters 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.
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.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
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 & Perks:
Medical, dental, and vision insurance options.
Company-paid life insurance and disability insurance.
Medical and dependent-care flexible spending plans.
Flexible time off program with manager approval.
Flexible schedules and work locations.
Paid parental leave benefit.
401(k)/RRSP plan with a 3% employer match.
Compensation:
$115,000$130,000 USD salary per year plus annual bonus.
Actual pay will be adjusted based on experience.
100% remote role with infrequent travel (generally 12 times per year).
Note:
RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring companys career page or ATS.
