Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
About the role
- Technical leader at company building intelligent ML backbone for business processes. Mentoring engineers and solving complex challenges in production-grade ML systems.
Responsibilities
- Engineer the future of our company by building an autonomous and intelligent backbone for our core business processes.
- Be a technical leader and systems builder, tasked with solving complex challenges in production-grade ML.
- Architect and own the most critical ML services that redefine efficiency.
- Mentor other engineers and elevate the technical standards for the entire team.
- Establish and adopt MLOps best practices across the team.
- Design, build, and fine-tune foundational predictive engines, including models for forecasting, planning, and process optimization.
- Partner with business and product leaders to translate ambiguous, high-impact business problems into well-defined machine learning solutions.
- Support the automation of decisions and minimization of manual intervention in core business processes using AI and machine learning.
- Continuously enhance business capabilities by exploring, prototyping, and advocating for new ML/AI trends and technologies.
Requirements
- At least 6 years of relevant experience
- Expert proficiency in Python and SQL
- Proven hands-on experience architecting and deploying complex ML systems in production
- Deep expertise in applying general ML methods to business challenges
- Specific experience with time-series forecasting models for real-world applications
- Deep experience deploying, monitoring, and maintaining ML systems in a production environment on a major cloud platform (GCP preferred)
- Expert knowledge of MLOps principles, containerization (Docker, Kubernetes), and CI/CD for machine learning
- Excellent communication skills, with the ability to articulate complex technical concepts and strategy to diverse stakeholders.
Benefits
- Health insurance
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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