AI/ML Engineer - Python/AWS SageMaker

Key Responsibilities : - Develop and deploy machine learning models using Python-based AI/ML frameworks (e.g., Keras, PyTorch, TensorFlow). - Leverage cloud services such as Amazon SageMaker, AWS EC2, AWS S3, and Azure Machine Learning for model training, deployment, and scaling. - Integrate machine learning workflows into CI/CD pipelines to enable automated deployment and updates. Required Qualifications : - Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. - Proven experience with Python-based AI/ML frameworks such as Keras, PyTorch, and TensorFlow. - Hands-on experience with scikit-learn and other machine learning libraries. - Strong knowledge and practical application of statistical analysis, data science, and mathematical modeling concepts. - Expertise in cloud services like AWS SageMaker, AWS EC2, AWS S3, Azure Machine Learning, or similar platforms for training, deployment, and management of machine learning models. - Experience with containerization of machine learning applications using tools such as Docker. - Familiarity with Kubernetes or other container orchestration systems for scaling and managing models in cloud environments. - Strong skills in CI/CD pipelines for automating model deployments (e.g., Jenkins, GitLab CI/CD, or similar). - Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) to track the performance and health of deployed models. - Knowledge of other cloud-based services and tools related to AI/ML workflows (e.g., Google AI Platform, Azure Cognitive Services). NOTE : Looking for immediate joiners (ref:hirist.tech)

Location: hyderabad, IN

Posted Date: 4/4/2025