Machine Learning Engineer

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

📋 Description

• Design and automate machine learning pipelines for tasks such as training, deployment, monitoring, and retraining.

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

• Establish model monitoring, governance, version control, and performance evaluation.

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

• Oversee cloud-based machine learning services and infrastructure.

• 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 Machine Learning Engineering, MLOps, or similar roles.

• Strong practical experience with Python programming.

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

• Solid understanding of the machine learning lifecycle and model deployment processes.

• Experience with cloud services like Azure, AWS, or GCP.

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

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

• Excellent communication and stakeholder management abilities.

🏝️ Benefits

• Competitive compensation and benefits package.

• Flexible and remote work environment.

• Opportunity to influence technology strategy and impact business results.

• Strong opportunities for learning and leadership development.