AI / ML Engineer
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Role details
Tech stack
Job description
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
Requirements
- 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
Benefits & conditions
Pulled from the full job description 401(k) Health insurance, The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client.
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