Intermediate Backend Engineer - AI Powered ModelOps

October 5

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GitLab

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1001 - 5000

💰 Secondary Market on 2020-11

Description

•As a Backend Engineer on GitLab’s MLOps team, you will be at the forefront of shaping the future of MLOps and LLMOps. •You will play a critical role in enabling GitLab customers to build and integrate their data science workloads directly within GitLab. •One of the key challenges you’ll help solve is moving our Experimental and Beta MLOps features to General Availability (GA). •You’ll work closely with a small, highly collaborative team of engineers, using technologies like Ruby, MLFlow, and GitLab. •This expansion allows you to impact the product and the larger GitLab community directly. •Success in this role means delivering against your assigned work, contributing to the team’s goals, and helping GitLab push the boundaries of MLOps and LLMOps.

Requirements

•Professional experience with Ruby on Rails •Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, or similar) •Solid understanding of machine learning concepts and workflows •Familiarity with containerization (Docker) and orchestration (Kubernetes) technologies •Experience with Python ML libraries (scikit-learn, TensorFlow, PyTorch) as plus •Proficiency in the English language, both written and verbal •Demonstrated capacity to communicate about complex problems and propose solutions •Experience with performance and optimization problems •Comfort working in a highly agile, intensely iterative software development process •An inclination towards communication, inclusion, and visibility •Experience owning a project from concept to production •Self-motivated and self-managing, with excellent organizational skills •Demonstrated ability to work closely with other parts of the organization •Share our values, and work in accordance with those values •Ability to thrive in a fully remote organization

Benefits

•Benefits to support your health, finances, and well-being •All remote, asynchronous work environment •Flexible Paid Time Off •Team Member Resource Groups •Equity Compensation & Employee Stock Purchase Plan •Growth and development budget •Parental leave •Home office support