AI/ML Engineer - Python/AWS SageMaker (3-7 yrs)

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