Machine Learning Ops Engineer (MLOps)

Location: Cape Town, hybrid

Company

hirify.global provides a SaaS partnership management platform that helps businesses automate partnerships and grow revenue.

What you will do

• Own production pipelines for data science and machine learning jobs.
• Work with data science teams to develop new pipelines and monitoring solutions.
• Scale solutions for data volumes, budgets, SLAs, and infrastructure requirements.
• Own CI/CD pipelines and architect data handoffs with other squads.
• Interface with external systems to extract data and collaborate across squads.
• Research technologies, operate independently, and develop and mentor engineering best practices.

Requirements

• Master’s degree in Computer Science; Data Science is preferred.
• 3+ years of experience developing and deploying machine learning models in production, including 1+ year in MLOps and data engineering.
• Experience with data science libraries, cloud environments, GCP, and big data.
• Exposure to deep learning approaches and frameworks such as PyTorch, TensorFlow, or Keras.
• Familiarity with DevOps practices and tools including Kubernetes, Docker, Jenkins, and Git.
• Experience with Terraform and Spark, with a strong focus on making complex pipelines simple and maintainable.
• Ability to collaborate with squads, take a leadership role, manage multiple projects, and solve problems.
• Continuous learning mindset and strong organizational skills.

Nice to have

• Experience with Databricks.
• Google Cloud environment certifications.

Culture & Benefits

• Hybrid and casual work environment.
• Responsible PTO policy supporting work-life balance.
• Primary caregiver leave.
• Training and development opportunities.
• Medical aid, provident fund, internet allowance, fitness club fee reimbursements, and technology stipend.
• Restricted Stock Units with a 3-year vesting schedule pending Board approval.