Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.
Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.
Automate the training, testing and deployment processes for machine learning models.
Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.
Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
Ensure compliance with security and data privacy standards in all MLOps activities.

Requirements

3-5 years of experience in MLOps, DevOps or a related field.
Bachelor’s degree in Computer Science, Data Science or a related field.
Strong understanding of machine learning principles and model lifecycle management.
Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.
Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
Familiarity with containerization and orchestration tools such as Kubernetes and Docker.
Knowledge of CI/CD pipelines, automation tools and version control systems like Git.
Strong problem-solving skills and ability to troubleshoot complex issues.
Experience with monitoring tools and practices for model performance in production.
Ability to work collaboratively in cross-functional teams.
Bonus/nice to have:
Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.
Knowledge of big data technologies like Apache Spark or Hadoop.
Familiarity with data engineering practices and tools.
Experience with A/B testing and model validation in production environments.
Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.

Benefits

Competitive compensation and equity awards.
Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
Unlimited Vacation.
Flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regularly scheduled team building activities and social events both on-site, off-site & virtually.
As we grow, this list continues to evolve!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

MLOpsDevOpsmachine learningmodel lifecycle managementPythonTensorFlowPyTorchCI/CD pipelinesautomation toolsversion control

Soft Skills

problem-solvingtroubleshootingcollaborationcross-functional teamwork

Certifications

AWS Certified Machine Learning – SpecialtyDataRobot MLOps Certification