Senior MLOps Engineer - Remote

Overview

The Senior MLOps Engineer will lead the design, deployment, and optimization of scalable machine learning pipelines, focusing on Generative AI and large language models (LLMs), in a collaborative environment that values diversity, equity, inclusion, and belonging.

In Short

• Lead the design and deployment of MLOps pipelines.
• Focus on Generative AI and large language models (LLMs).
• Collaborate across teams to streamline workflows.
• Implement CI/CD pipelines for ML workflows.
• Optimize cloud infrastructure for efficient model training.
• Utilize Databricks for data and ML pipeline management.
• Stay updated on advancements in GenAI technologies.
• Define best practices for model versioning and governance.
• Monitor and troubleshoot production systems.
• Support and guide junior team members.

Requirements

• Bachelor's or Master’s degree in Computer Science or related field.
• 5+ years of MLOps or related experience.
• Expertise in deploying Generative AI models.
• Proficient in Python and ML libraries.
• Skilled in cloud platforms like AWS, GCP, Azure.
• Hands-on experience with Docker and Kubernetes.
• Expertise with Databricks.
• Familiarity with MLflow and monitoring tools.
• Strong problem-solving and communication skills.
• Fluency in English.

Benefits

• Opportunity to work on cutting-edge AI projects.
• Collaborative and supportive work environment.
• Focus on diversity and inclusion.
• Impactful work that pushes boundaries of AI.