Machine Learning Operations Engineer

Job Description

• 5+ years of good experience in MLOps.
• A talented MLOps Engineer help operationalize machine learning models at scale.
• The ideal candidate will have a strong background in machine learning, software engineering, and DevOps practices, with expertise in deploying, monitoring, and maintaining ML models in production environments.
• Strong experience in MLOps, DevOps, or related fields.
• Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Hands-on experience with cloud platforms (e.G., AWS, GCP, or Azure) and their ML services.
• Knowledge of containerization and orchestration tools (e.G., Docker, Kubernetes).
• Experience with CI/CD tools (e.G.GitHub Actions orJenkins).
• Familiarity with monitoring tools for ML models (e.G., Dynatrace, Prometheus, Grafana, or MLFlow).
• Strong understanding of version control for models and data (e.G., Git)....