Machine Learning Ops Engineer, Pickle Robot

• 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
• 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

• 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
• 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

• Equity stakes
• Health care
• 401k
• Snacks and cold brew
• Beautiful headquarters in the heart of Cambridge, MA

Total funding: $102.5m

Unattractive working conditions have pushed more and more workers out of the logistics sector, with the labor gap only expected to grow in the coming years. Pickle Robot supplies intelligent robots to be employed in high-risk and heavy-lifting positions, to make up the worker shortage and free humans from these undesirable roles.