| Urgent requirement for MLOps Engineer Lead at Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Devender, Magicforce [email protected] Reply to: [email protected] Hi Greetings from Magicforce!!! My name is Dev we have a job opportunity for you as a MLOps Engineer Lead one of our client based at Remote Please find the Job description below, if you are available and interested, please send us your word copy of your resume with following detail to dev @magicforce.us Job Title: MLOps Engineer Lead Location: Remote Duration: 12+Months Start Date: ASAP. Job Description: 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-technical stakeholders. Preferred Qualifications: AWS Certified Machine Learning Specialty Experience with feature stores, model registries, and monitoring tools such as MLflow, Tecton, or Seldon. Familiarity with data engineering tools such as AWS EMR, Glue and Apache Spark. Knowledge of security best practices for machine learning systems. Experience with A/B testing and model performance monitoring Responsibilities: Architect for scalable, cost-efficient, reliable and secure ML solution. Design, implement and deploy ML solutions in AWS. Select and justify appropriate ML technology within AWS and Identify appropriate AWS services to implement ML solutions. Design, build, and maintain infrastructure required for efficient development, deployment, and monitoring of machine learning models. Implement CI/CD pipelines for machine learning applications to ensure smooth development and deployment processes. Collaborate with data scientists to understand and implement requirements for model serving, versioning, and reproducibility. Monitor and optimize model performance in production, identifying and resolving issues proactively to ensure optimal results. Automate repetitive tasks to improve efficiency and reduce the risk of human error in MLOps workflows. Maintain documentation and provide training to team members on MLOps best practices, ensuring knowledge sharing and collaboration within the team. Stay updated with the latest developments in MLOps tools, technologies, and methodologies to remain current and effective in your role. Please fill the following questionnaire so that I can use the information while presenting your profile to the client. Req. Full Name Work Authorization Present location Contact Number PP number E-mail Address Skype ID DOB Availability to join LinkedIn ID Overall US experience Overall relevant IT experience Willing to Relocate (Yes/ No) Bill Rate Keywords: cplusplus continuous integration continuous deployment machine learning information technology Idaho Urgent requirement for MLOps Engineer Lead at Remote [email protected] |
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| Tue Nov 05 18:45:00 UTC 2024 |