ML Ops
1 day ago
Key Responsibilities
Develop and maintain CI/CD pipelines for ML models.
Automate model deployment, monitoring, and performance tracking.
Collaborate with data scientists to ensure models are productionready.
Implement tools for model versioning, testing, and validation.
Ensure compliance with data governance and security standards.
Optimize ML workflows for scalability and costefficiency.
Troubleshoot and resolve issues related to model performance and infrastructure.
Stay updated with the latest MLOps tools and best practices.
Support continuous improvement by identifying and solving opportunities.
Bachelor or Master degree in Computer Science, Data Science, or related field.
10+ years of experience in MLOps, DevOps, or related roles.
Experience on Sagemaker and Shakudo
Strong programming skills in Python; familiarity with ML frameworks like TensorFlow, PyTorch, or Scikitlearn.
Knowledge on Sagemaker, Shakudo
Experience with cloud platforms (AWS, Azure, GCP).
Proficiency in containerization (Docker) and orchestration (Kubernetes).
Knowledge of CI/CD tools (e.g., Jenkins, GitHub Actions).
Familiarity with monitoring tools (Prometheus, Grafana).
Excellent problemsolving and communication skills.
Mandatory Skills
Python
SQL
Machine Learning
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