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Senior Software Engineer

  • Maine, Westbrook

  • 07/20/2026

  • Contract

  • Active

Job Description:

  • We are seeking an experienced Machine Learning Engineer to join the Machine Learning Operations team in Client's R&D AI Center of Excellence. In this role, you will build and operate the infrastructure that turns Data Scientists' models into production systems - from scalable training and inference pipelines to optimized on-device deployment on edge hardware. The Machine Learning Operations team supports all projects in the Center of Excellence, including Client's inVue Dx's computer vision and microscopy-based diagnostics, and you will contribute to high impact problems.

     
    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
     
    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 infrastructure-as-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.

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