ML Ops Engineer with AWS strong Databricks Experience at O'Fallon, MO Onsite at Strong, Arkansas, USA |
Email: [email protected] |
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1824843&uid= From: Vinkal Dhaka, Siri Info [email protected] Reply to: [email protected] H1b candidate required.Passport number is mandatory for i94. Title ML Ops Engineer with AWS strong Databricks Experience Location O FALLON, Missouri (Day 1 Onsite) Contract/C2C Job Description: AWS ML Ops Engineer strong Databricks Experience Educational Background: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Experience: 3+ years of experience in machine learning operations, cloud infrastructure management, and automation. Technical Skills: Proficiency in AWS services such as Sage Maker, Lambda, EC2, ECS, EKS, and CloudFormation. Programming Skills: Strong coding skills in Python, along with experience in using ML libraries such as TensorFlow, PyTorch, or Scikit-learn. Automation Tools: Familiarity with CI/CD tools and frameworks such as Jenkins, GitLab CI, or AWS CodePipeline. Monitoring Tools: Experience with monitoring and logging tools like CloudWatch, Grafana, or Prometheus. Security Best Practices: Knowledge of AWS security best practices, including IAM policies, VPC configurations, and encryption techniques. Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot complex issues. Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders. Team Player: Ability to work effectively in a collaborative team environment and contribute to multiple projects simultaneously. Keywords: continuous integration continuous deployment machine learning ML Ops Engineer with AWS strong Databricks Experience at O'Fallon, MO Onsite [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1824843&uid= |
[email protected] View All |
02:48 AM 09-Oct-24 |