| ML Ops senior engineer | REMOTE at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2571303&uid=c442b19990e84b05875453c2fb7e3cf2 From: Juhi Upadhyay, Rulesiq [email protected] Reply to: [email protected] Location- Remote Job Title- ML Ops senior engineer Must have: Expertise in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong Experience in deployment/devops technologies: CI/CD pipelines, Kubernetes/Docker, and infrastructure-as-code tools (Terraform, Ansible, etc.). and cloud-native architectures (P and Aruze), monitoring and observability for ML workloads Advanced understanding of ML pipeline orchestration tools like Kubeflow, MLflow, Airflow, or TFX. Nice to have: Experience with distributed computing frameworks (e.g., Spark, Ray, Dask) is a plus. Familiarity with model explainability, fairness, and bias detection tools is highly desirable. Strong knowledge of security best practices for ML systems, including data encryption, API security, and governance. Thanks Juhi Upadhyay (technical recruiter) Email: [email protected] LinkedIn: https://www.linkedin.com/in/juhiupadhyay2000/ Keywords: continuous integration continuous deployment machine learning ML Ops senior engineer | REMOTE [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2571303&uid=c442b19990e84b05875453c2fb7e3cf2 |
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| 05:58 AM 08-Jul-25 |