Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join a team focused exclusively on building and deploying machine learning models—not data science. The ideal candidate will have hands-on experience with ML engineering, MLops, Amazon SageMaker, and Python, and will be responsible for developing scalable ML pipelines and production-ready solutions. Key Responsibilities Design, build, and deploy machine learning models in production environments. Develop and maintain ML pipelines using Amazon SageMaker and other cloud-native tools. Implement MLops practices for model versioning, monitoring, and automation. Collaborate with software engineers and data engineers to integrate ML models into applications. Optimize model performance and scalability for real-time and batch inference. Ensure compliance with best practices in security, reliability, and maintainability. Write clean, efficient, and well-documented Python code for ML workflows. Required Qualifications

Strong hands-on experience with Amazon SageMaker. Proficiency in Python for ML development and automation. Experience implementing MLops practices in production environments. Solid understanding of machine learning model lifecycle and deployment strategies. 5+ years of experience in machine learning engineering or related roles. Familiarity with cloud platforms (AWS preferred). Preferred Qualifications

Experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes). Familiarity with CI/CD pipelines for ML workflows. Exposure to monitoring tools and model performance tracking. Email ID * This field is required Please enter valid emailId. Cell phone * This field is required Please enter valid cell phone. First Name * This field is required Please enter valid first name. Last Name * This field is required Please enter valid last name.

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