Senior AI/ML Engineer

We are looking for a Senior AI/ML Engineer who thrives at the intersection of complex mathematics and scalable cloud architecture. You won't just be "using" models; you will be building the pipelines that fuel them and the systems that deploy them. Our team focuses heavily on optimization and mathematical modeling. We need a practitioner who is comfortable wrangling messy data from disparate sources, performing sophisticated feature engineering, and translating those inputs into high-performance neural networks or optimization engines., * End-to-End Pipeline Development: Build and manage data lifecycles-from ingesting data across multiple sources to feature engineering and model inference.

• Model Implementation: Develop and refine models focused on optimization and neural networks, ensuring they deliver actionable results and high-impact inferences.
• Cloud Orchestration: Design and maintain robust, serverless, and containerized workflows within the AWS ecosystem.
• Technical Leadership: Act as a subject matter expert in Python development, ensuring code quality, scalability, and performance across the ML lifecycle.

• Expert Python: Deep experience in Python is non-negotiable. You should be comfortable with the standard data science libraries and writing production-grade code.

• Advanced AWS Proficiency: * Orchestration: Experience with Step Functions, EventBridge, and Lambda for serverless automation.

• Infrastructure: Solid understanding of IAM (security/roles), S3 (data lakes), and ECS/Elastic Containers.

• Modeling & Math: Proven track record in mathematical optimization or neural network development. You understand the "why" behind the results, not just the "how."

The "Nice-to-Haves":

• Experience building and automating SageMaker Pipelines.
• Direct experience with operations research or complex optimization algorithms.

Your Background

• The Architect: You've successfully delivered multiple projects where you handled the full data-to-inference journey.
• The Integrator: You know how to connect various data sources and transform raw information into meaningful features.
• The Optimizer: You have a passion for math-heavy engineering and aren't afraid of complex logic.

Note to Candidates: This role is for a builder who loves the "Engineering" in Machine Learning Engineering. If you enjoy solving puzzles that involve both high-level mathematics and deep-cloud infrastructure, we want to talk to you.

Constellation Energy + Malvern, PA + $159,000-191,000 per year Who We Are As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. We have be…, © 2026 Careerjet All rights reserved