MLOps Engineer - Protein Design AI Infra

BCforward; San Diego (CA); On-site; USD 120,000 - 150,000; Part time

Job summary

A leading IT consulting firm is seeking a highly motivated MLOps Engineer to support their pharmaceutical client in San Diego, CA. The role involves building and maintaining ML infrastructure, with responsibilities including designing CI/CD pipelines, managing Kubernetes workloads, and developing data pipelines. Required qualifications include strong MLOps expertise, CI/CD experience, and proficiency with Python and ML frameworks. This is a contract position at a mid-senior level with opportunities for growth and collaboration.

Qualifications

• 3+ years of experience in MLOps, ML infrastructure, or related roles.
• Experience building and maintaining CI/CD pipelines, particularly with GitHub Actions.
• Hands-on experience with Kubernetes for deploying and managing containerized applications.
• Proficiency with SLURM or similar job-scheduling systems for high-performance computing environments.
• Strong Python skills; experience with ML frameworks (PyTorch, TensorFlow, JAX).
• Experience building scalable data pipelines and ETL processes.
• Familiarity with infrastructure-as-code, version control, and collaborative development workflows.
• Experience with cloud infrastructure (AWS, GCP, Azure) for ML workloads.

Responsibilities

• Design, implement, and optimize CI/CD pipelines using GitHub Actions for model training, evaluation, and deployment workflows.
• Manage and scale workloads across Kubernetes clusters and SLURM-based HPC environments.
• Build robust, scalable data processing and loading pipelines for diverse biological data types.
• Create tools and infrastructure that empower researchers to iterate quickly on models.
• Architect systems that can handle multi-modal datasets efficiently.
• Implement monitoring, logging, and alerting systems for production ML systems.

Skills

MLOps foundation

CI/CD expertise

Container orchestration

HPC systems

Programming skills in Python

Data engineering

DevOps practices

Cloud platforms (AWS, GCP, Azure)

Job description

A leading IT consulting firm is seeking a highly motivated MLOps Engineer to support their pharmaceutical client in San Diego, CA. The role involves building and maintaining ML infrastructure, with responsibilities including designing CI/CD pipelines, managing Kubernetes workloads, and developing data pipelines. Required qualifications include strong MLOps expertise, CI/CD experience, and proficiency with Python and ML frameworks. This is a contract position at a mid-senior level with opportunities for growth and collaboration.