MLOPs Engineer

About AmaliTech 

AmaliTech is a social business empowering the next generation of technology leaders that harness the potential of remote working to build the future of work in sub-Saharan Africa and reinvest its surplus in further training, network growth, and local community support. With headquarters in Germany, we have over 400 strong team members based in Ghana (Takoradi, Kumasi and Accra) and Rwanda (Kigali). 

Job Details 

• 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 

We are seeking a highly skilled MLOPs Engineer with deep experience in building and maintaining scalable machine learning infrastructure. This role requires a strong background in Google Cloud Platform (GCP) and hands-on expertise in automating ML workflows using tools like Vertex AI, Docker, and Dagster. 

As an MLOPs Engineer, you will work closely with data scientists, software engineers, and DevOps teams to ensure seamless model development, deployment, and monitoring across production environments. 

Key Responsibilities  

• 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. 

Must Have:

• 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 

How To Apply

Interested and qualified applicants should complete the application process via AmaliTech Careers. Application deadline is August 31, 2025. Documents required for applying: 

Ensure you have these documents before applying:

• Latest copy of CV (PDF format)
• Other related certificates (optional) 

Recruitment Process:

1. Click "I'm interested" to apply
2. Invitation to Interview(s)
3. Job Offer 

Perks

• 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)

What To Expect

Working with AmaliTech provides an excellent opportunity for career growth and development in a healthy and diverse work environment. Our talented and welcoming team will ensure you feel part of our family to get you engaged on the job. You have the opportunity of building an international IT career and working with global IT companies.