AWS ML Engineer

• Design, develop, and maintain scalable, high-performance applications using AWS services such as EC2, S3, Lambda, RDS, DynamoDB, Batch and ECS/EKS.
• Monitor and optimize application performance using AWS tools like CloudWatch, X-Ray.
• Integrate microservices, RESTful APIs, and serverless architectures into applications.
• Collaborate with product managers and DevOps engineers to deliver end-to-end solutions.

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.