Machine Learning Ops Engineer

At Algotery, we’re an AWS Service Partner and AI-native software house that helps organizations unlock the full value of cloud-native architectures and intelligent automation. Our clients rely on us to build scalable, production-grade AI/ML systems that deliver real business impact.

We’re seeking a Machine Learning Ops Engineer who’s passionate about bridging the gap between ML research and reliable production deployments — all within the AWS ecosystem.

What You’ll Do:

• Design, build, and manage robust MLOps pipelines on AWS (e.g., SageMaker, Lambda, EKS, S3).
• Automate ML workflows including data ingestion, model training, testing, deployment, and monitoring.
• Implement infrastructure-as-code (IaC) for scalable, repeatable ML environments.
• Collaborate with data scientists, AI engineers, and cloud architects to deliver end-to-end solutions.
• Monitor deployed models for performance drift, retrain as needed, and manage versioning.
• Optimize cloud resources for cost efficiency, performance, and security.

What You’ll Bring:

• Proven experience as an MLOps Engineer or DevOps Engineer focused on ML in production.
• Strong hands-on knowledge of AWS services for AI/ML (SageMaker, EKS/ECS, Lambda, CloudFormation, etc.).
• Expertise in CI/CD for ML workflows (GitOps, automated testing, pipelines).
• Experience with containerization (Docker, Kubernetes/EKS).
• Familiarity with monitoring tools for models in production (e.g., CloudWatch, custom dashboards).
• Solid Python skills and knowledge of popular ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Excellent problem-solving skills and the ability to work in a collaborative, fully remote team.

Why work with us:

• Build next-gen AI solutions in a cloud-native environment.
• Work with top talent across AI, Cloud, and Software Engineering.
• Flexible remote contract with potential for long-term collaboration.
• Opportunity to make an impact on real-world projects and hone your MLOps skills.

Location: Remote

Type: Contract (3-6-12 months, with potential extension)