What are the responsibilities and job description for the ML Operations Engineer (MLOps) position at RemoteWorker CA?
Company Overview : Welcome to the forefront of machine learning operations! At our company, we're driving the next wave of AI revolution through cutting-edge ML operations technologies. Our mission is to develop scalable and reliable ML systems that empower businesses and revolutionize industries. Join us and be part of a dynamic team committed to pushing the boundaries of what's possible with MLOps.
The following information provides an overview of the skills, qualities, and qualifications needed for this role.
Position Overview : As an ML Operations Engineer (MLOps), you'll play a critical role in developing and maintaining scalable and reliable machine learning pipelines and systems. Working closely with data scientists, software engineers, and DevOps specialists, you'll ensure the smooth deployment, monitoring, and optimization of machine learning models in production environments. If you're passionate about bridging the gap between data science and operations and eager to drive innovation in ML infrastructure, we want you on our team.
Key Responsibilities :
- ML Pipeline Development : Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, deployment, and monitoring, leveraging best practices in MLOps.
- Model Deployment : Deploy machine learning models into production environments, ensuring scalability, reliability, and performance, and automating deployment processes using CI / CD pipelines.
- Model Monitoring : Implement monitoring and alerting systems to track model performance, data drift, and model drift, and take proactive measures to maintain model health and accuracy.
- Infrastructure Management : Manage cloud-based infrastructure and resources for machine learning workloads, optimizing for cost, performance, and scalability.
- Version Control : Implement version control and model versioning systems to track changes to models and ensure reproducibility and traceability.
- Collaboration and Documentation : Collaborate with cross-functional teams to define requirements, prioritize tasks, and deliver solutions that meet business objectives, and document processes and workflows for knowledge sharing and onboarding.
- Security and Compliance : Implement security best practices and ensure compliance with data privacy regulations in ML systems and workflows.
Qualifications :
Benefits :
Join Us : Ready to shape the future of ML operations? Apply now to join our team and be part of an exciting journey of innovation and growth!
Address
Unreal Gigs
San Francisco,
94199 USA
J-18808-Ljbffr
Salary : $150,000 - $230,000
