Machine Learning Ops Engineer
New
India, cross-timezonePart-TimeMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Required Skills
- AWSDockerPythonGCPKubernetesMLFlowAirflowAzureCI/CDMLOps
Requirements
- Proven experience as an MLOps Engineer or similar role.
- Strong programming skills in Python; familiarity with Java or Scala is a plus.
- Experience with ML frameworks and pipeline orchestration (MLflow, Airflow, Kubeflow, or SageMaker).
- Hands-on experience with cloud services (AWS, Azure, or GCP).
- Solid knowledge of containerization and orchestration (Docker, Kubernetes).
- Familiarity with Git and CI/CD tools.
- Strong understanding of ML algorithms.
- Excellent communication and collaboration skills.
- Bachelors or Masters degree in Computer Science, Data Science, or related field.
Responsibilities
- Design, build, and maintain end-to-end machine learning infrastructure ensuring scalability, high availability, and performance.
- Automate ML pipelines with Docker, Kubernetes, and CI/CD frameworks.
- Collaborate with data scientists and engineers to streamline model deployment.
- Monitor and optimize models in production with observability tools (e.g., Prometheus, Grafana, ELK).
- Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for efficiency and cost.
- Ensure compliance and security protocols for sensitive financial data.
- Provide support and maintenance to ensure the reliability of ML applications.
View Full Description & ApplyYou'll be redirected to the employer's site
