Machine Learning Engineer

Machine Learning Operations Team Member

We are seeking an experienced professional to join the Machine Learning Operations team in the R&D AI Center of Excellence. In this role, you will build and operate the infrastructure that turns Data Scientists' models into production systems, contributing to high-impact problems.

Required Skills & Qualifications (Must-have qualifications that candidates must meet to be considered)

• 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
• Experience with ML tech stacks, including Databricks, MLflow, Amazon AWS, containerization technologies such as Docker, and infrastructure-as-code tools including Terraform and CloudFormation
• Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications (Nice-to-have skills but are not required)

• Experience optimizing and deploying models for GPU or edge inference; familiarity with NVIDIA edge platforms and tooling a plus
• Familiarity with computer vision and/or microscopy/scientific imaging data a plus
• Experience creating and deploying applications to AWS Lambda

Day-to-Day Responsibilities (key tasks and expectations for the role)

• 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
• 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

For immediate consideration please click APPLY to begin the screening process with Alex.