Machine Learning Ops Engineer
Impact.com13 hours ago
Cape Town, South AfricaMid Level
Responsibilities
- Own production pipelines for data science jobs.
- Partner with data science teams to create new machine learning pipelines.
- Create monitoring solutions for all aspects of the pipelines.
- Scale solutions for data volumes, budget, SLAs, and infrastructure requirements.
- Own CI/CD pipelines and architect data handoffs to other squads.
- Extract data from external systems and collaborate on cross-squad data handoffs.
- Research new technologies and develop and mentor engineering best practices.
Requirements
- At least 3 years of experience developing and deploying machine learning models in production.
- At least 1 year of experience in MLOps and data engineering.
- Experience with Databricks, cloud/GCP environments, and big data.
- Exposure to deep learning approaches and frameworks such as PyTorch, TensorFlow, and Keras.
- Familiarity with Kubernetes, Docker, Jenkins, Git, Terraform, and Spark.
- A master's degree in Computer Science or Data Science is preferred.
- Google Cloud environment certifications are a plus.
- Ability to collaborate with squads, operate independently, manage multiple projects, and solve problems.
Benefits
- Hybrid, casual work environment.
- Responsible PTO policy.
- Primary caregiver leave.
- Training and development opportunities.
- Medical aid and provident fund schemes.
- Restricted stock units with a three-year vesting schedule pending Board approval.
- Internet allowance.
- Fitness club fee reimbursements.
- Technology stipend.
Tech Stack
Apache SparkDatabricksDockerGitGoogle CloudGoogle Cloud PlatformJenkinsKerasKubernetesPyTorchTensorFlowTerraform
Categories
Data EngineeringML Engineering
About Impact.com
Impact.com builds a SaaS platform for partnership and affiliate marketing, used by brands to manage affiliates, influencers, content publishers, and referrals, with tools for tracking, attribution, commissioning, and fraud detection. Its revenue comes from software subscriptions and related services. Founded in 2008 and headquartered in Santa Barbara, California, it is privately held and counts customers such as Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics.