MLOps Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Design and automate machine learning pipelines for training, deployment, monitoring, and retraining processes.

• Deploy and oversee machine learning solutions on cloud platforms, with a preference for Azure.

• Execute model monitoring, governance, versioning, and performance assessment.

• Collaborate with Data Science and Engineering teams to operationalize machine learning models.

• Manage cloud-based machine learning services and infrastructure effectively.

• Enhance MLOps platforms, tools, and deployment methodologies.

• Partner with stakeholders and technology collaborators to provide scalable machine learning solutions.

⛳️ Requirements

• 5-8 years of experience in ML Engineering, MLOps, or similar positions.

• Proficient hands-on experience with Python programming.

• Familiarity with TensorFlow, PyTorch, or Scikit-learn frameworks.

• In-depth understanding of the machine learning lifecycle and model deployment processes.

• Experience with cloud platforms such as Azure, AWS, or GCP.

• Proven experience in building automated CI/CD and machine learning pipelines.

• Knowledge of Docker, Kubernetes, MLflow, or Kubeflow technologies.

• Strong communication abilities and stakeholder management skills.

🏝️ Benefits

• Competitive compensation and benefits package.

• Remote work options and flexible work environment.

• Chance to influence technology strategy and business outcomes.

• Significant opportunities for learning and leadership development.