Platform Engineer

Job Title: MLOps + DevOps (Platform) Engineer

Location: Remote / Hybrid

Job Type: Full-time

About the Role

Chapter 2 is working with a leading creative agency to develop scalablemachine learning platformsfor AI-driven content creation. This role is perfect for anMLOps + DevOps Engineerwho thrives in fast-paced environments, takesownership, and has experience building infrastructure forlarge-scale AI and ML applications. You'll be instrumental in developing automated, scalable, and high-performance ML infrastructure to supportgenerative AI workflowsandlarge language models (LLMs)in production.

What You’ll Do

• Design, build, and maintain scalable ML platformsfor model development, experimentation, and production workflows.
• Automate ML infrastructuredeployment, including data pipelines, model training, validation, and deployment.
• Manage the full ML lifecycle, from model versioning to deployment, monitoring, and retraining.
• Optimise large language model (LLM) operations, ensuring efficient fine-tuning, deployment, and performance monitoring.
• Collaborate closely with data scientists and engineersto develop and deploy ML models at scale.
• Optimise performancefor inference and training across GPUs and cloud-based architectures.
• Ensure security and compliancefor ML platforms handling sensitive data.
• Evaluate and integrate MLOps tools(MLflow, Kubeflow, etc.) to enhance efficiency.
• Implement monitoring and alerting systemsto detect anomalies and maintain model reliability.

What We’re Looking For

• 3+ years of experiencein software engineering, infrastructure, or MLOps roles.
• Proven expertise inbuilding and maintaining ML platformsat scale.
• Hands-on experience withcloud platforms (AWS, GCP, or Azure)for ML workloads.
• Strong proficiency withDocker, Kubernetes, and infrastructure automation(Terraform, CloudFormation).
• Solid programming skills inPythonand familiarity with ML frameworks likeTensorFlow, PyTorch.
• Experience designingCI/CD pipelines for ML workflowsand deployment automation.
• Exposure toLLM Ops, including managing fine-tuning and deployment of large language models.
• Strong problem-solving skills and ability totroubleshoot complex ML infrastructure issues.
• Ability to work in afast-paced, high-growthenvironment with aproduct-oriented mindset.
• Bonus:Experience withbig data tools(Spark, Kafka) andfeature stores.

Why Join Us?

• Work oncutting-edge AI and ML infrastructuresupporting generative AI products.
• Be part of ahigh-impact, innovativeteam driving AI advancements.
• Competitive salary, benefits, and career growth opportunities.
• Collaborate with top-tier engineers and data scientists in the AI space.

Excited? Let’s talk. Apply now with your resume and portfolio!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Art/Creative and Engineering

Industries

Software Development and Advertising Services

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