Job Description
Job Description
5+ years of good experience in MLOps.
A talented MLOps Engineer help operationalize machine learning models at scale.
The ideal candidate will have a strong background in machine learning, software engineering, and DevOps practices, with expertise in deploying, monitoring, and maintaining ML models in production environments.
Strong experience in MLOps, DevOps, or related fields.
Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure) and their ML services.
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
Experience with CI/CD tools (e.g.GitHub Actions orJenkins).
Familiarity with monitoring tools for ML models (e.g., Dynatrace, Prometheus, Grafana, or MLFlow).
Strong understanding of version control for models and data (e.g., Git).
Knowledge in scripting using python/unix bash.
Roles & Respons...
5+ years of good experience in MLOps.
A talented MLOps Engineer help operationalize machine learning models at scale.
The ideal candidate will have a strong background in machine learning, software engineering, and DevOps practices, with expertise in deploying, monitoring, and maintaining ML models in production environments.
Strong experience in MLOps, DevOps, or related fields.
Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure) and their ML services.
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
Experience with CI/CD tools (e.g.GitHub Actions orJenkins).
Familiarity with monitoring tools for ML models (e.g., Dynatrace, Prometheus, Grafana, or MLFlow).
Strong understanding of version control for models and data (e.g., Git).
Knowledge in scripting using python/unix bash.
Roles & Respons...