MLOps Engineer

About this role:Pickle is on the hunt for a dynamic and driven MLOps Engineer to  join our team and drive the deployment, automation, and scaling of machine learning models. This role requires expertise in DevOps practices and familiarity with machine learning to ensure seamless model lifecycle management, from development to production. The ideal candidate will have a strong background in cloud computing, CI/CD pipelines, and monitoring ML workflows.

What You’ll Accomplish:

• Design, implement, and manage CI/CD pipelines for ML model training, validation, and deployment.
• Automate and optimize ML workflows, including data preprocessing, feature engineering, and model deployment.
• Collaborate with engineers, and product teams to streamline the model development lifecycle.
• Deploy and monitor ML models in production environments, ensuring reliability and scalability.
• Establish best practices for version control, reproducibility, and governance of ML models.
• Implement observability tools to track model performance, detect domain drift, and trigger retraining.
• Maintain and improve cloud-based or on-premises ML infrastructure.
• Stay up to date with emerging MLOps technologies and practices to enhance the efficiency of model deployment.

Who You Are:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in MLOps, DevOps, or related fields.
• Strong programming skills in Python and Bash .
• Experience with ML frameworks such as PyTorch, Experience with NVIDIA tooling and drivers.
• Hands-on experience with containerization tools (Docker) and orchestration.
• Familiarity with CI/CD tools (GitHub Actions preferred)Strong knowledge of model monitoring, logging, and drift detection.
• Understanding of infrastructure as code (Terraform, CloudFormation) and automation tools.
• Excellent problem-solving and collaboration skills.
• Experience with feature stores and ML model registries.
• Background in security and compliance for ML systems.
• Certifications in cloud computing or MLOps.
• Willing and able to work from our office located in Cambridge, MA at least three days per week.

About Pickle RobotPickle Robot is a pioneer in Physical AI for supply chain applications. Today Pickle robots autonomously unload trucks, trailers, and import containers at human-scale or better performance. The alternative is manual work that is difficult, dirty, sometimes dangerous, and increasingly hard to staff at distribution centers around the globe. Pickle Robot is laser focused on automating truck unloading using generative AI, machine learning, computer vision, advanced sensors, and industrial robotics to deliver engineered products customers rely on. Pickle Robot Unload Systems work alongside people on loading docks to make the work safer, faster, and more efficient. Pickle robots are physical AI that unload trucks.
Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive.