Senior MLOps Engineer

🕒 May 3

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Robusta Studio

WebsiteLinkedInAll Job Openings

51 - 200 employees

robusta is a tech agency working with a diverse client base across different sectors & industries on implementing digital transformation programs. Engagements are typically focused on digitization of existing operations & processes and/or activation of digital customer engagement channels. With a team of 100+ tech and market consultants, robusta maintains an impactful footprint across EMEA and engages with its clients through its two key operations hubs in Egypt and Germany.

📋 Description

• Design, build, and maintain scalable ML pipelines for training, testing, and deployment • Deploy & maintain machine learning models and ensure their performance, reliability, and monitoring • Collaborate with data scientists and engineers to streamline experimentation and deployment workflows • Implement CI/CD practices for ML systems (ML CI/CD) • Manage and optimize cloud-based infrastructure for ML workloads • Develop monitoring, logging, and alerting systems for model performance and data drift • Ensure reproducibility, versioning, and governance of ML models and datasets • Advocate for best practices in MLOps, DevOps, and software engineering

🎯 Requirements

• 5+ years of experience in software engineering, DevOps, or MLOps roles • Strong programming skills in Python (and familiarity with Java/Go is a plus) • Experience with ML frameworks such as TensorFlow, PyTorch, or similar • Hands-on experience with containerization and orchestration tools (Docker, Kubernetes) • Experience with cloud platforms (AWS, GCP, or Azure) • Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI) • Strong understanding of data pipelines, distributed systems, and API development • Experience with monitoring tools and logging frameworks