We are looking for a skilled MLOps Engineer to help design, deploy, automate, and manage scalable machine learning pipelines in production environments. If you have hands-on experience in Python, ML frameworks, cloud platforms, and ML lifecycle automation, this is an excellent opportunity to contribute to enterprise-level machine learning solutions in a versatile, remote working environment. ? Role: MLOPS Engineer ?

Job Type
Part-Time | Remote | Freelance

Key Responsibilities
• Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment.
• Build and maintain CI/CD pipelines for ML model training, testing, validation, and deployment.
• Automate model monitoring, retraining, performance tracking, and optimization.
• Collaborate with Data Scientists and Data Engineers to productionize machine learning models.
• Ensure scalability, reliability, security, and reproducibility of ML systems.




• Manage model versioning, experiment tracking, and ML lifecycle management.
• Implement governance, compliance, and best practices for production ML environments. Required Skills & Expertise:
• Strong programming skills in Python.
• Experience with TensorFlow, PyTorch, and Scikit-learn.
• Hands-on experience with MLOps tools such as MLflow, Kubeflow, Airflow, AWS SageMaker, or Azure ML.
• Knowledge of CI/CD tools such as Jenkins, GitHub Actions, and GitLab CI.
• Experience with AWS cloud services and ML deployment infrastructure.
• Strong understanding of data pipelines, ETL processes, and distributed systems.
• Experience with model monitoring, automated retraining, and production ML operations.

📌 Freelance MLOPS Engineer (India)
🏢 IndiTech Consulting
📍 India