MLOPs Engineer
MLOPs Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
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.
Qualifications :
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
Additional Information :
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:
- Click Im interested to apply
- Invitation to Interview(s)
- 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
