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MLOps Engineer
MLOps Engineer
Rokkun is seeking an MLOps Engineer with 3-5 years of experience to optimize and deploy machine learning models efficiently in production environments. The role involves collaborating with data science teams, automating deployment pipelines, and building monitoring systems to ensure model performance and scalability.
About the role
Role Summary
We are looking for an MLOps Engineer with 3-5 years of experience who is passionate about optimizing machine learning models and deploying them efficiently in production environments. You will work closely with Data Scientists and Engineers to ensure that ML models run faster, scale effectively, and are deployed seamlessly. This role is perfect for someone who thrives in improving model performance and ensuring smooth, efficient deployment pipelines.
What you’ll do
- Optimize machine learning models for speed, accuracy, and scalability.
- Automate deployment pipelines for ML models in production.
- Collaborate with data science teams to fine-tune models and address production challenges.
- Build and maintain monitoring systems to track model performance and operational metrics.
- Ensure proper versioning and CI/CD processes for machine learning code and models.
What you bring
- 3-5 years of Experience
- Strong experience with containerization (Docker, Kubernetes).
- Proficiency in cloud platforms (AWS, GCP, Azure).
- Experience in model optimization techniques and scaling.
- Familiarity with ML frameworks (TensorFlow, PyTorch, etc.).
- Knowledge of CI/CD and version control tools (Git, Jenkins, etc.).
Skills
MlopsDockerKubernetesAWSGCPAzureTensorFlowPyTorchCI/CDGitJenkins