MLOps Engineer responsible for designing and maintaining ML pipelines at JobCloud. Collaborating with teams to productionize ML models and ensuring robust system performance.
About the role
- Senior ML Engineer developing scalable production ML systems across various teams in JobCloud. Leading innovation in the AI-driven recruitment landscape, improving job ad visibility and performance.
Responsibilities
- Partnering with Data Science to translate experimental models into scalable, production-grade ML systems.
- Designing and build high-performance, low-latency model-serving architectures and infrastructure.
- Defining and enforce best practices for ML productionization, including coding standards, testing, and deployment strategies.
- Leading cross-functional collaboration between Data Science, Engineering, and Operations as the primary technical interface.
- Defining and implementing model performance monitoring (e.g., drift detection, data quality, inference metrics) to ensure reliability in production.
- Driving innovation by evaluating new tools, frameworks, and methodologies, and promoting their adoption across the organization.
- Developing and maintain technical documentation, system designs, and operational runbooks.
Requirements
- 5+ years of experience in ML Engineering, MLOps, or closely related roles.
- Proven experience deploying and maintaining machine learning models in production at scale.
- Strong Python skills, including experience with data and ML ecosystems.
- Familiarity with LLMs, RAG, and emerging AI paradigms (e.g., agent-based systems).
- Hands-on experience with cloud platforms (e.g., AWS) for building and operating ML systems.
- Experience with containerization (Docker) and building production-ready services.
- Demonstrated ability to lead technical projects and make architectural decisions.
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.
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