| MLOps Engineer :: (Hybrid) Ann Arbor, Michigan :: USC and GC only at Ann Arbor, Michigan, USA |
| Email: [email protected] |
| From: Sweety, Source InfoTech Inc [email protected] Reply to: [email protected] Hi, Hope you all are doing great, Please find the job description below, Job Title - MLOps Engineer Base Location Ann Arbor, Michigan (Hybrid) Duration 12+ months Visa: USC/GC MOI: Video **Candidates must be local to Michigan** Certification in cloud computing (e.g., AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer). Certification is a plus but do not disqualify people who don't have it Responsibilities: Design, implement, and maintain end-to-end machine learning pipelines for model training, validation, and deployment. Collaborate with data scientists, software engineers, and DevOps engineers to integrate machine learning models into production systems. Develop automation tools and frameworks to streamline the machine learning workflow, including data preprocessing, feature engineering, model training, and evaluation. Optimize model performance and scalability by leveraging cloud computing resources and distributed computing techniques. Implement monitoring and logging solutions to track model performance, data quality, and system health in production. Manage model versioning, experimentation, and reproducibility using version control systems and experiment tracking tools. Stay up-to-date with the latest trends and technologies in machine learning, cloud computing, and software engineering, and incorporate them into the MLOps workflow. Provide technical guidance and mentorship to junior team members on best practices for MLOps. Qualifications: Bachelor's degree or higher in computer science, engineering, mathematics, or related field. Strong programming skills in languages such as Python, Java, or Scala. Proven experience as a MLOps Engineer, specifically with Azure ML and related Azure technologies. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. Proficiency in automation tools like JIRA, Ansible, Jenkins, and Docker compose, Artifactory, etc. Knowledge of DevOps practices and tools for continuous integration, continuous deployment (CI/CD), and infrastructure as code (IaC). Experience with version control systems such as Git and collaboration tools like GitLab or GitHub Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders. Knowledge of software engineering best practices such as test-driven development (TDD) and code reviews. Experience with Rstudio/POSIT connect, RapidMiner. Thanks, Sweety IT Recruiter Source InfoTech Inc., Voice: (609) 934-3545 Ext - 135 Disclaimer: If you are not interested in receiving our e-mails then please reply with a "REMOVE" in the subject line at [email protected] for automatic removal. And mention all the e-mail addresses to be removed with any e-mail addresses, which might be diverting the e-mails to you. We are sorry for the inconvenience Keywords: continuous integration continuous deployment machine learning information technology green card MLOps Engineer :: (Hybrid) Ann Arbor, Michigan :: USC and GC only [email protected] |
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| Mon May 13 19:26:00 UTC 2024 |