automated tooling. The skills you'll bring include: Proven experience working with SaaS services and infrastructure. Proficient in AWS services, including EC2, EKS or ECS, IAM, VPC networking, S3. Networking and Linux system administration skills. Comfortable with one or more of the following languages: Python, Ruby, Javascript, Java, Bash. More ❯
years of experience in machine learning operations, data engineering, or related roles AWS Proficiency: Strong understanding of AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI More ❯
Engineer should have experience with: 3+ years in cloud technologies preferably Azure. Minimum 3+ years of experience with deployment orchestration systems such as Kubernetes, ECS, and Elastic Beanstalk. Experience working with CI/CD tools such as CircleCI or Jenkins. Minimum 2+ years of experience with Docker and Docker More ❯
