Role Overview
Proxify is seeking a Senior MLOps Engineer to join one of our clients. The ideal candidate is growth-oriented, passionate about machine learning, and excited to develop innovative products. You will be responsible for building and maintaining end-to-end MLOps pipelines, deploying models to production, and ensuring their performance, reliability, and scalability.
Key Responsibilities
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Develop and implement a comprehensive MLOps strategy, integrating machine learning models into production environments
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Design, build, and maintain end-to-end machine learning pipelines covering data preprocessing, model training, deployment, and monitoring
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Collaborate with cross-functional teams to deploy and manage scalable infrastructure for ML workloads using containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure)
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Implement and manage CI/CD pipelines for automated testing, validation, and deployment of ML models
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Establish robust monitoring and logging systems to track model performance and detect anomalies
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Work closely with data scientists and engineers to understand model requirements, deployment needs, and data dependencies
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Implement security best practices for ML systems and ensure compliance with relevant regulations
Required Qualifications
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Minimum 5 years of professional experience in MLOps or related field
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Proven experience deploying and managing ML models in production
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Proficiency in Python and MLOps tools (e.g., TensorFlow Extended, Kubeflow, MLflow)
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Experience with containerization (Docker) and orchestration (Kubernetes)
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Strong knowledge of cloud platforms (AWS, GCP, or Azure) and their ML services
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Demonstrated experience implementing automated testing, validation, and deployment for ML models
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Excellent communication skills and ability to collaborate with cross-functional teams
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Located in CET timezone ±3 hours
Must-Have Skills
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Python
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Azure / AWS / GCP
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Grafana / Prometheus
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SQL
What We Offer
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Reliable payments: On-time monthly payments with flexible withdrawal options
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Predictable hours: Consistent 8-hour workdays for full-time positions
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Flex days: Up to 24 days off per year without losing pay
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Career-accelerating opportunities: Access to long-term remote positions at leading companies
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Tailored opportunities: Skip recruitment roadblocks with personally matched positions
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Seamless process: One-time contracting process for multiple opportunities
About Proxify
Proxify connects top developers worldwide with the opportunities they deserve. With a network of 5000+ skilled developers and 1200+ satisfied clients, Proxify enables professionals to fast-track their careers through remote, full-time positions.
Our mission is to remove borders in talent acquisition, providing reliable, hand-picked opportunities and a supportive global network. High ratings on Glassdoor (4.5/5) and Trustpilot (4.8/5) reflect our commitment to developer success and trust.