Remote Senior MLOps Engineer

Description:

• The Senior MLOps Engineer position at Quince involves revolutionizing the way people purchase essential goods by leveraging cutting-edge ML and AI solutions.
• The role includes designing, building, and maintaining ML pipelines for data ingestion, model training, validation, deployment, and monitoring.
• Implementing Continuous Integration/Continuous Deployment (CI/CD) processes for automating testing, deployment, and monitoring of machine learning models.
• Building and owning production infrastructure for serving ML models in real-time and batch scenarios with high availability, scalability, and reliability.
• Establishing and managing the feature store for efficient storage, retrieval, and versioning of features used in ML models.
• Collaborating with data scientists, data engineers, and software engineers to integrate ML models into production systems aligned with business goals.
• Monitoring and optimizing model performance in production, addressing issues like data drift, model degradation, and system bottlenecks.
• Designing and implementing scalable and reliable ML infrastructure using cloud platforms, containerization, and orchestration tools.
• Developing automated solutions for version control, model registry, and experiment tracking to manage ML model lifecycles efficiently.
• Managing and optimizing computational resources like GPUs and cloud instances for cost-effectiveness.
• Conducting root cause analysis and troubleshooting of issues in ML pipelines, including debugging data, code, and model performance problems.
• Creating and maintaining comprehensive documentation of ML pipelines, deployment processes, and operational workflows for knowledge sharing and continuity.

Requirements:

• Bachelor's degree in computer science, engineering, or a related field.
• 5+ years of experience in MLOps or ML engineering.
• Hands-on expertise in building and maintaining ML pipelines, managing scalable ML production infrastructure, and working with AWS or other major cloud services.
• Strong knowledge of CI/CD practices for ML models.
• Familiarity with DevOps principles and tools.
• Experience with TensorFlow, PyTorch, or similar frameworks.
• Proficiency in Python and Java (or Scala).
• Excellent communication skills.
• Ability to work fast, be a team player, and demonstrate kindness.

Benefits:

• Opportunity to work with a team of world-class talent from renowned companies and institutions.
• Chance to shape the ML development ecosystem at Quince and drive meaningful business outcomes and innovation.
• Competitive salary and benefits package.
• Remote work flexibility.
• Collaborative and inclusive work environment.
• Continuous learning and professional development opportunities.