MLOps Engineer (AWS)

Location: Remote from Serbia or Romania

Company

hirify.global is a fast-growing scale-up delivering software, engineering, and cloud solutions to global enterprises in Technology, Finance, and Life Sciences.

What you will do

• Design, implement, and maintain scalable MLOps pipelines on AWS using SageMaker, EC2, EKS, S3, Lambda, and related services.
• Coordinate with the platform team to troubleshoot Kubernetes clusters and deploy machine learning models and microservices.
• Develop and maintain CI/CD pipelines for model and application deployment, testing, and monitoring.
• Collaborate with Data Science and DevOps teams across the model lifecycle, from experimentation to production.
• Implement AWS security practices covering network security, encryption, and role-based access control.
• Monitor, troubleshoot, and optimize data and ML pipelines, including model performance drift monitoring.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 2+ years of hands-on experience in MLOps, DevOps, or related fields.
• Knowledge and preferably practical experience with AWS machine learning services, including SageMaker, EKS, S3, EC2, and Lambda.
• Exposure to Kubernetes and experience with Docker.
• Exposure to infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with CI/CD tools such as GitLab CI.
• Understanding of the machine learning model lifecycle, networking concepts, and cloud security best practices.
• Familiarity with monitoring and logging solutions including Prometheus, Grafana, CloudWatch, and ELK Stack.
• Proficiency in Python and Bash, comfort working in Linux environments, and strong problem-solving and communication skills.

Nice to have

• Experience with serverless architectures and event-driven processing on AWS.
• Familiarity with advanced Kubernetes concepts such as Helm.
• Experience with data engineering pipelines, ETL processes, or big data platforms.
• Experience with TensorFlow, PyTorch, Keras, Kubeflow, SageMaker, Argo Workflows, or Airflow.

Culture & Benefits

• Remote work from Serbia or Romania.
• Medical insurance after the probation period.
• Training on market trends and client needs, with continuous learning and personal development opportunities.
• Holiday allowance in line with local legislation.
• Competitive compensation package and performance-based bonus.
• Fun budget for team events.