Machine Learning Engineer

Contract Westbrook, Maine

• Location: Westbrook, Maine
• Type: Contract
• Job #20926

Westbrook, Maine-based Machine Learning Engineer sought with experience in machine learning, artificial intelligence (AI), MLOps, computer vision, Python, PyTorch, Spark, Ray, Databricks, MLflow, AWS, Docker, Terraform, CUDA, TensorRT, SQL, Linux, distributed systems, cloud computing, edge computing, machine learning infrastructure, model deployment, model optimization, training pipelines, inference pipelines, GPU acceleration, foundation models, and production AI systems. This role will build and scale enterprise machine learning platforms, deploy computer vision and AI models into production, develop cloud and edge-based inference solutions, and optimize high-performance machine learning workloads supporting advanced diagnostic technologies. Job Description:

• Partner with Data Scientists to productionize machine learning and computer vision models, and implement scalable, efficient training and inference pipelines
• Optimize models for performance and scalability, including GPU/CUDA level tuning and edge/embedded inference optimization (e.g., TensorRT, DLA)
• Work with software engineers and Data Scientists to integrate ML models into production systems on the cloud and at the edge
• Collaborate with Data Scientists to identify and analyze data requirements
• Develop and implement data preprocessing and feature engineering pipelines
• Build and maintain infrastructure-as-code for ML platforms and deployments
• Stay up to date with the latest developments in machine learning, computer vision, and MLOps
• Hourly Pay Rate: $63.33 - 72.14 / hour. T he salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. Compensation may also vary based on where a role is performed.

Required Skillsets:

• Previous experience in machine learning as evidenced by delivering solutions into production
• Excellent software engineering skills including a test-driven mindset
• Strong programming skills in Python and Spark
• Experience with distributed computing frameworks such as Ray, and ML frameworks such as PyTorch and modern foundation/vision models
• Experience with ML tech stacks, including Databricks (including Databricks Asset Bundles), MLflow, Amazon AWS (EC2, S3, Lambda), containerization technologies such as Docker, and infrastructureas-code tools including Terraform and CloudFormation
• Experience optimizing and deploying models for GPU or edge inference (CUDA, TensorRT); familiarity with NVIDIA edge platforms (Jetson Orin/Thor) and tooling (Nsight, DeepStream SDK) a plus
• Familiarity with computer vision and/or microscopy/scientific imaging data a plus
• Experience creating and deploying applications to AWS Lambda
• High level of comfort with Linux
• Experience with SQL
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills

Why This Opportunity Stands Out

• Work on cutting-edge machine learning, computer vision, and AI initiatives.
• Build production-scale ML systems that support real-world diagnostic applications.
• Collaborate with talented Data Scientists, Software Engineers, and AI specialists.
• Gain exposure to modern MLOps, cloud infrastructure, distributed computing, and edge AI technologies.
• Solve complex challenges spanning machine learning engineering, infrastructure, and deployment.

If you're a Machine Learning Engineer, MLOps Engineer, AI Engineer, Data Engineer, Software Engineer, or Computer Vision Engineer with experience in Python, PyTorch, Spark, Ray, Databricks, MLflow, AWS, Docker, Terraform, GPU optimization, CUDA, TensorRT, distributed systems, and production machine learning, this role offers the opportunity to build and scale advanced AI solutions in a high-impact environment. Apply to work at the intersection of machine learning, cloud infrastructure, computer vision, and real-world innovation.



Compensation: $63.33 - $72.14/ hour

Salary Disclaimer
The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. Compensation may also vary based on where a role is performed.

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