AI / ML Engineer

Rise Technical Recruitment Limited; United States; Remote; USD 140,000 - 165,000; Full time

Benefits offered by this job

Healthcare

401(k)

PTO

Bonuses

Job summary

Rise Technical Recruitment Limited in the United States is seeking an experienced AI/ML Engineer to own and advance predictive modeling and autonomous AI systems for the energy sector. This remote role offers significant ownership and impact.

You will collaborate with data scientists and software engineers to ship production ML products, build reusable Python packages, and implement scalable inference. The position emphasizes responsible AI, model monitoring, and robust data processing.

Qualifications

• Advanced degree in computer science or related field.
• Extensive experience shipping machine learning applications.
• Strong Python programming and library creation skills.
• Understanding of MLOps and scalable inference.
• US Citizenship or Green Card holder.

Responsibilities

• Deploy production-ready machine learning software products.
• Create reusable Python packages and data pipelines.
• Build RAG systems and autonomous agent workflows.
• Monitor model accuracy, consistency, and fairness.
• Optimize database queries for large-scale processing.

Skills

Python

ML engineering

MLOps

Data pipelines

Model evaluation

Education

Advanced degree in CS or related field

Job description

Salary: USD140000 - USD165000 per annum + 401K + PTO + Healthcare + Bonuses

AI / ML Engineer

Remote – USA

$140,000 - $165,000 + Healthcare + 401k + PTO + Bonus

Are you an experienced AI/ML Engineer with a strong foundation in predictive modeling and generative reasoning looking to take ownership of cutting-edge machine learning and agentic systems within the utility sector?

This is an opportunity to join a growing technology-focused professional services firm shaping how utilities navigate a rapidly changing landscape. The team works on complex problems involving electrification, network reliability, geospatial analysis, time series forecasting, and AI-driven decision systems that empower sustainable choices.

In this role, you will build and scale machine learning systems, tools, and pipelines, integrating emerging AI architecture components. You will work closely with data scientists, software engineers, and cross-functional teams to bring advanced predictive and generative models from experimentation into scalable production systems.

This role would suit an engineer who enjoys solving complex modeling and data processing problems while building production-ready AI systems that drive meaningful impact in the energy industry.

The Role:

• Deploy production-ready machine learning software products
• Create reusable Python packages and data pipelines
• Build RAG systems and autonomous agent workflows
• Monitor model accuracy, consistency, and fairness
• Optimize database queries for large-scale processing

The Person:

• Advanced degree in computer science or related field
• Extensive experience shipping machine learning applications
• Strong Python programming and library creation skills
• Understanding of MLOps and scalable inference
• US Citizen or Green Card Holder

Reference Number: BBBH277667