ML Ops Engineer
Bangalore, Karnataka, India Full-time Technology & Engineering
Required Skills:
• 2-4 years of experience in software development, DevOps, or data engineering
• Proficiency in Python, SQL, and at least one ML framework such as TensorFlow, PyTorch, Scikit-learn
• Experience with containerization (Docker) and orchestration tools (Kubernetes)
• Knowledge of cloud platforms such as AWS, Azure, GCP and their ML services
• Understanding of CI/CD pipelines, version control (Git), and infrastructure as code
• Familiarity with monitoring tools and logging frameworks for production systems
• Experience with data pipeline tools such as Apache Airflow, Kubeflow, or similar
• Strong problem-solving skills and ability to work in fast-paced, collaborative environments
• 2-4 years of experience in software development, DevOps, or data engineering
• Proficiency in Python, SQL, and at least one ML framework such as TensorFlow, PyTorch, Scikit-learn
• Experience with containerization (Docker) and orchestration tools (Kubernetes)
• Knowledge of cloud platforms such as AWS, Azure, GCP and their ML services
• Understanding of CI/CD pipelines, version control (Git), and infrastructure as code
• Familiarity with monitoring tools and logging frameworks for production systems
• Experience with data pipeline tools such as Apache Airflow, Kubeflow, or similar
• Strong problem-solving skills and ability to work in fast-paced, collaborative environments