Senior MLOps Engineer

Job Description Roles & Responsibilities Responsibilities 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 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 Desired Candidate Profile 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 Company Industry IT - Software Services Department / Functional Area IT Software Keywords Senior MLOps Engineer Get real-time job updates only on our App