MLOPs Engineer - AmaliTech
AmaliTech
- Western Region
- Permanent
- Full-time
- Hybrid work model – 3 days from office, 2 days remote
- Job Location – Ghana (Accra or Takoradi, or Kumasi); Rwanda (Kigali)
- Job Type: Full-time,40 hours/week with a hybrid work model
- Design and implement robust, scalable MLOps pipelines using GCP, Vertex AI, and Dagster.
- Collaborate with data science teams to produce ML models and ensure reproducibility.
- Define and manage ML infrastructure architecture in GCP.
- Automate model training, validation, deployment, and monitoring.
- Support CI/CD for ML projects and maintain containerised environments using Docker.
- Identify and resolve infrastructure bottlenecks and system-level challenges.
- Execute low-level technical tasks including debugging, scripting, and pipeline optimisation.
- Senior-level experience with Google Cloud Platform (GCP).
- In-depth understanding of cloud architecture and best practices for scalable ML solutions.
- Strong hands-on experience with Vertex AI and containerization tools such as Docker.
- Experience with orchestration tools such as Dagster (or alternatives like Airflow, Prefect).
- Proficient in Python and scripting for automation and workflow management.
- Ability to translate high-level architectural decisions into executable tasks.
- Excellent problem-solving and communication skills.
- Experience in CI/CD pipelines for ML (e.g., GitHub Actions, Cloud Build).
- Familiarity with ML model monitoring and drift detection.
- Prior experience working in cross-functional teams in fast-paced environments
- Competitive salary commensurate with qualification and experience
- Pension benefits
- Bonuses and end-of-year package
- Medical insurance, with dependents
- Internet data allocation for remote work
- Employee bonding activities (bi-monthly happy hour, sporting activities)
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