| Urgent role for Lead Machine Learning Operations Engineer || Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Hemant Kumar, Vbeyond [email protected] Reply to: [email protected] Hi, I have job opportunity for you, if you are looking for new job, please email me your updated resume at your earliest convenience Lead Machine Learning Operations Engineer Duration: 6-12 months Remote Aws Certification is a must have. Job Description: We're seeking an experienced MLOps Engineer to lead the operationalization of our Machine Learning workloads. As a key team member, you'll be responsible for designing, building, and maintaining infrastructure required for efficient development, deployment, and monitoring of machine learning workloads. Your close collaboration with data scientists will ensure that our models are reliable, scalable, and performing optimally. This role requires expertise in automating ML workflows, enhancing model reproducibility, and ensuring continuous integration and delivery. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 3+ years of experience in MLOps, DevOps, or related fields. Strong programming skills in Python, GoLang with experience in other languages such as Java, C++, or Scala being a plus. Experience with ML frameworks such as TensorFlow, PyTorch, and/or scikit-learn. Proficiency with CI/CD tools such as Github Actions. Hands-on experience with AWS. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Knowledge of infrastructure-as-code tools such as AWS CDK and Cloudformation. Strong understanding of machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. Excellent problem-solving skills and the ability to work independently as well as part of a team. Strong communication skills and the ability to explain complex technical concepts to non[1]technical stakeholders. Keywords: cplusplus continuous integration continuous deployment machine learning Urgent role for Lead Machine Learning Operations Engineer || Remote [email protected] |
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| Tue Nov 05 23:03:00 UTC 2024 |