J

Senior AI/ML Engineer

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

We are seeking a highly skilled AI/ML Engineer to develop advanced AI and ML solutions for the energy and utility sector. The ideal candidate will have a strong background in machine learning engineering, AI systems design, and large-scale data-driven decision-making. The role requires collaboration with cross-functional teams to design, build, and deploy scalable machine learning systems.

Key Highlights
Develop AI and ML solutions for the energy and utility sector
Collaborate with cross-functional teams
Design, build, and deploy scalable machine learning systems
Key Responsibilities
Collaborate with cross-functional teams to design, develop, and deploy scalable AI and machine learning solutions integrated into production systems
Build reusable Python libraries and engineering components to support ML pipelines, data processing workflows, and AI system development
Contribute to the design and implementation of modern AI architectures
Technical Skills Required
Python AWS Azure GCP Databricks LangChain LangGraph LlamaIndex Hugging Face AutoGen
Benefits & Perks
Competitive salary range of $115,000-$145,000 USD plus annual bonus
Comprehensive medical, dental, vision, and disability insurance coverage
Flexible time off policy supporting work-life balance
Nice to Have
Experience in the utility, energy, or power sector
Strong Databricks expertise

Job Description

This role sits at the intersection of machine learning engineering, AI systems design, and large-scale data-driven decision-making, focused on solving complex challenges in the energy and utility sector. You will contribute to the development of advanced AI and ML solutions that combine predictive modeling, optimization, and generative AI to support critical infrastructure and sustainability goals. Working closely with data scientists and software engineers, you will help design, build, and deploy scalable machine learning systems that power real-world applications. The environment is highly collaborative and innovation-driven, with a strong emphasis on applied AI, production readiness, and measurable impact. You will work across diverse use cases including forecasting, geospatial analysis, and intelligent decision systems. This is a high-impact role where your work directly supports the modernization and efficiency of energy systems.
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