Machine Learning Engineer

Responsibilities:
The ML Ops project acts as a center of expertise and pursues the goal to conceptualize and provide central services and tools for reliable and efficient deployment of data science models. The following functionalities are planned:

• Deployment of models with automated processes
• versioning and monitoring of data
• continuous monitoring and updating of models
• Scalability of developed models and processe
• collaboration through the reuse of models and processes Scope of service
• conception and implementation of a model repository
• conception and implementation of data access, preparation, modeling, versioning
• conception, implementation and provision of services for continuous monitoring of models and their quality, especially with regard to changing data
• evaluation and selection of existing solutions and technologies
• support teams in designing, building and running P-environments for ML
• develop helpers, utils, functionalities
• roll out tools / functionalities to teams

Requirements:

• B.Sc., M.Sc. or Ph.D. in computer science or a related field
• Excellent communication and teamwork skills
• Familiar with workflow management platforms like Airflow or Argo Workflows (Preferable)
• Familiar with best practices in the Software Engineering and MLOps community (Preferable)
• You enjoy working in an agile team, like to get involved, think "out of the box" and are keen to tackle new topics
• Good English skills complete your profile Must Have:
• Expert level understanding and hands-on experience with building MLOps or DevOps infrastructure in CI/CD environments
• Basic understanding of Machine Learning Models and Use Cases
• Some level of experience with most or all of the Technologies/Tools/Platforms of our used stack

Technology Stack:

• GCP
• Kubernetes
• Prometheus,
• Helm,
• GitLab,
• Terraform,
• Argo,
• MLFlow,
• Python

Life at Arvato Systems Malaysia:
If you're looking to be creative and at the same time putting on the entrepreneurship hat while working on Technology related work, then you fit right into our culture.

Top 10 Perks & Benefits on Why You Should Join Us:

• Yearly Company Trip.
• We promote flexi work arrangements having flexi benefits where employees could enjoy what they see fit.
• Besides Annual Leaves & Sick Leaves, we have other unique paid time-offs such as Birthday Leave & Child Care/Parental Leave.
• We got you covered in terms of insurance alongside with your immediate family members (Spouse & Children only).
• Attractive Employee Referral Program.
• Sponsored meals if you work at the office!
• Unlimited coffee refills with state-of-the-art barista coffee machine where you can practice on your preferred choice of latte art.
• Believes in learning and people development with plenty of trainings to upskill your personal growth.
• Plenty of initiatives and interest groups to ensure that not only everyone in the team gels and bond closer together, we put an emphasis on CSR work as well.
• Work is important, but your mental health should always take priority. At Arvato Systems Malaysia, we do everything we can to make sure you lead a healthy and happy life by walking the talk on work-life balance.

Diversity & Inclusion:
Arvato Systems Malaysia stands for Equal Employment Opportunity (EEO). We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.