Senior MLops Engineer (SNS01506)
Job Description
We are seeking a highly motivated and experienced MLOps Data Engineer to join our team at Swift in the Netherlands.
- In this role, you will be responsible for develop and maintain a platform that automates creating, training, deploying and updating machine learning models for our users.
- As a MLOps engineer, you will work closely with data scientists to develop, retrain, deploy and monitor ML models.
- The ideal candidate for this role will have a strong background in CI/CD, ML pipeline automation, with experience working with AI platforms and containerized infrastructure.
- You should be comfortable working in a fast-paced, dynamic environment and have excellent problem solving skills. If you are passionate about AI and have a strong desire to make a difference, we encourage you to apply for this exciting role.
Education & Experience
- University degree in computer science or related field. Or equivalent work experience.
- 5 to 10 years’ experience in systems development.
Key Responsibilities
- You will work with the Product Owner and Squad members to focus on streaming the process of taking ML models to production and then maintaining and monitoring them.
- You will drive and lead solutions from conceptualization to realization, i.e. Design, Development, Test/Qualify, Deploy and Support / Maintain You will prepare specifications, codes, tests, deliverables, acceptance criteria, time frames, and etc.
- You will develop and maintain technical documentation and prepare and give presentations to customers on systems.
- You will prepare and study the technical feasibility and estimates of the proposed systems solutions.
Competency Profile
- Have strong and solid experience in Python Programming language and frameworks.
- Professional in ML Operationalization, including workflow/model management platforms such as Mlflow, KubeFlow, Kedro, Airflow
- Experience in SQL and NoSQL databases (e.g. Oracle, Cassandra, MongoDB) including data modelling.
- Strong collaboration as well as verbal and written communication
- Experience with scripting language primarily in Unix Shell and RHEL command usage
- Experience in Kubernetes and RedHat OpenShift is a plus.
- Experience in continuous integration/delivery build environment: GIT/BitBucket , Jenkins/Cloudbees, Ansible Tower, coverage and static/dynamic code analysis tools, Confluence, Jira, Service Now and Nexus.
- Quality-oriented: you know that delivering production-ready software takes more than committing code
- Appetite for the business: you like technology and you love to use it to create solutions to help your customers.
- Team-oriented: you take pride from team achievements and are ready to support and be supported by your team-mates.
- Curious, eager to learn and to educate others.
- Understanding of Web server technology (Rest API, HTTPD, Apache Tomcat).
- Docker – Min 6 years
- ML Productization – Min 8 years
- MLOps – Min 6 years
- Python – Min 8 years
Hiring Team Member
