Machine Learning Ops Engineer -2(ML Ops)
Job description
Roles and Responsibilities
3+ years of experience in machine learning, software engineering, or a related role.
Strong programming skills in languages like Python, R, or Java, along with expertise in relevant libraries and frameworks (e.g., SK learn, TensorFlow, PyTorch, scikit-learn).
Hands-on experience with deploying and managing machine learning models in production environments.
Solid understanding of software engineering principles, including version control, code review, and testing.
Familiarity with cloud platforms (e.g., AWS,GCP) and containerization technologies (e.g., Docker, Kubernetes).
Experience with building and managing scalable data infrastructure (e.g., data lakes, data warehouses).
Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
Experience with ML Ops platforms and tools (e.g.AWS sagemaker, GCP Vertex AI, Kubeflow, MLflow, Airflow,Databricks).
Job Features
| Job Category | Machine Learning |