AWS ML Engineer

Required Skills and Qualifications :

• Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 5+ years of experience as a Software Engineer
• Strong proficiency in AWS core services (e.g., EC2, S3, Lambda, RDS, DynamoDB, Batch, CloudFormation).
• Experience with programming languages such as Python, Java
• Knowledge of cloud architecture principles, microservices, and serverless computing.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes or ECS.
• Understanding of security best practices for cloud-based applications (IAM, VPC).
• Experience with CI / CD tools and version control systems (e.g., Git, AWS CodePipeline).
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication and teamwork skills.

Nice-to-Have Skills :

• Experience with computer vision technologies (e.g., OpenCV, TensorFlow, PyTorch)
• Familiarity with AWS AI / ML services, such as SageMaker.
• Knowledge of machine learning pipelines and integrating computer vision models into production environments.

Skills Required

Restful Apis, Lambda, Rds, Dynamodb, Python, Java