Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- MLOps Engineer responsible for designing and maintaining ML pipelines at JobCloud. Collaborating with teams to productionize ML models and ensuring robust system performance.
Responsibilities
- Design, build, and maintain end-to-end ML pipelines from data ingestion to model deployment and monitoring
- Collaborate with data scientists and cloud engineers to productionize ML models and establish best practices
- Develop and maintain model serving infrastructure with focus on scalability, reliability, and low latency
- Manage ML experiment tracking, model versioning, and model registry systems
- Monitor model performance in production and implement alerting systems
- Implement security best practices for ML systems and ensure compliance with data governance policies
- Document MLOps processes, architecture decisions, and runbooks.
Requirements
- Bachelor's degree or higher in Computer Science, Data Science, Engineering or related field
- 5+ years of experience in MLOps, DevOps, or related production ML roles
- Experience deploying ML/AI prototypes into production
- Excellent communication skills and ability to work cross-functionally
- Self-motivated with ability to work independently and manage multiple priorities
- Passion for automation and building reliable systems
- Detail-oriented with focus on code quality and best practices
- Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, or similar)
- Familiarity with LLM frameworks, vector databases, and RAG architectures
- Strong experience with cloud platforms (AWS, GCP, or Azure)
- Experience with cloud data warehouses, SQL/NoSQL databases and real-time data pipelines
- Hands-on experience with container orchestration (Kubernetes, ECS, or similar)
- Proficiency with CI/CD pipelines, Infrastructure as Code, and version control
- Strong understanding of REST API design and implementation.
Benefits
- 25 days of annual vacation leave plus 10 days of fully paid sick leave.
- Fringes benefits: meal allowance, work-from-home allowance, gym allowance, private health insurance plan for yourself and 2 children.
- 1 day per month to tackle challenges inside the project, or test new ideas.
- Tech training and human skills training and, budget for conferences.
- Opportunity to travel and collaborate in our various office locations for workshops or team-building events.
- A dynamic work environment that highly fosters a sense of fun while maintaining a productive atmosphere.
- A competitive salary.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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