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Senior ML Engineer
Actively Hiring
Full-time Posted 5 months ago
Responsibilities
- check_circle Build, maintain, and optimize end-to-end MLOps pipelines for machine learning workflows.
- check_circle Deploy, monitor, and scale machine learning models in production environments.
- check_circle Implement CI/CD pipelines for ML workflows and model lifecycle management.
- check_circle Manage and optimize ML infrastructure using Docker, Kubernetes, and cloud platforms.
- check_circle Collaborate closely with Data Scientists and Engineering teams to productionize ML models.
- check_circle Ensure reliability, monitoring, and performance of ML systems in production.
- check_circle Maintain best practices for model versioning, experiment tracking, and reproducibility.
Basic qualifications
- Senior-level experience in Machine Learning / MLOps engineering
- Strong programming skills in Python
- Hands-on experience with ML frameworks such as: TensorFlow PyTorch scikit-learn
- TensorFlow
- PyTorch
- scikit-learn
- Experience with MLOps platforms/tools such as: MLflow Kubeflow TFX or similar
- MLflow
- Kubeflow
- TFX or similar
- Experience implementing CI/CD pipelines using tools such as: Jenkins GitLab CI CircleCI
- Jenkins
- GitLab CI
- CircleCI
- Strong experience with containerization and orchestration: Docker Kubernetes
- Docker
- Kubernetes
- Experience deploying and managing ML solutions on cloud platforms (AWS, GCP, or Azure)
Preferred qualifications
- Experience with big data technologies such as: Apache Spark Hadoop Kafka
- Apache Spark
- Hadoop
- Kafka
- Experience with data visualization tools: Tableau Power BI
- Tableau
- Power BI
Tags & Focus Areas
Fulltime Remote Machine Learning Data Science Mlops Ai