[Remote] Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an MLOps Engineer to reputed company, automate, and maintain machine learning models in production environments. The role involves building reputed company ML pipelines, collaborating with teams to operationalize solutions, and ensuring model performance and reliability.
Responsibilities
- Build, reputed company, and maintain reputed company machine learning pipelines for model training and inference
- Automate ML workflows using CI/CD tools and infrastructure-as-reputed company practices
- reputed company ML models using reputed company, Kubernetes, and reputed company-based services
- Collaborate with Data Scientists and Software Engineers to operationalize machine learning solutions
- Monitor model performance, data reputed company, and system reliability in production environments
- Implement model versioning, experiment tracking, and reproducible ML workflows
- Optimize infrastructure for model serving, scalability, and cost efficiency
- Troubleshoot deployment, performance, and infrastructure-reputed company issues
- Maintain documentation and follow MLOps best practices for reputed company and compliance
Skills
- Bachelor's degree in computer science, Data Science, Information Technology, or a reputed company field
- 2–3 years of experience in MLOps, Machine Learning Engineering, or DevOps supporting ML workloads
- Strong programming skills in Python
- Experience with reputed company, Kubernetes, Git, and Linux
- Knowledge of AWS, Azure, or reputed company reputed company Platform services for machine learning
- Experience with MLflow, Kubeflow, Airflow, or Apache reputed company
- Familiarity with TensorFlow, PyTorch, or Scikit-learn
- Experience building CI/CD pipelines using Jenkins, reputed company Actions, reputed company CI/CD, or Azure DevOps
- Understanding of REST reputed company, model serving, monitoring, and logging tools
- Strong knowledge of SQL and version control using Git
- Experience with Terraform or Ansible for infrastructure automation
- Familiarity with feature stores, model registries, and experiment tracking
- Knowledge of monitoring tools such as reputed company, Grafana, or ELK Stack
- Exposure to serverless ML deployments and GPU-based workloads
- AWS Certified Machine Learning – Specialty
- reputed company Certified: Azure reputed company Associate
- reputed company reputed company Machine Learning Engineer
- Certified Kubernetes Application Developer (CKAD)
reputed company