Machine Learning Engineer - Remote

Overview

This role involves designing and implementing scalable pipelines for deploying machine learning models, integrating them into real-world applications, and maintaining the infrastructure for model training and deployment.

In Short

• Strong programming skills in Python and experience with ML frameworks.
• Experience with cloud platforms and containerization.
• Familiarity with MLOps tools.
• Understanding of model evaluation and deployment strategies.
• Experience with monitoring tools for ML systems.
• Design and implement scalable pipelines for ML models.
• Integrate models into applications and services.
• Build and maintain robust infrastructure for model training.
• Automate workflows for the ML lifecycle.
• Flexible work and comprehensive benefits offered.

Requirements

• Proficiency in Python and ML frameworks like TensorFlow and PyTorch.
• Experience with AWS, GCP, or Azure.
• Knowledge of Docker and Kubernetes.
• Familiarity with MLOps tools such as MLflow.
• Strong understanding of model evaluation and deployment.

Benefits

• Flexible work arrangements.
• Healthcare including dental and vision.
• Financial well-being programs.
• Paid time off and holidays.
• Paid parental leave.
• Family building benefits.
• Social well-being benefits.
• Mentoring and learning programs.
• Employee Resource Groups.
• Disaster Relief support.