| MLops Engineer at Ann Arbor, Michigan, USA |
| Email: [email protected] |
| From: venu gopal, configusa [email protected] Reply to: [email protected] I am venu gopal from ConfigUSA, we are one of the leading IT professional services providers .I have attached the job descriptions below for your review. If these are opportunities that interest you, please call me at your earliest convenience and send me an updated copy of your resume in word format. If you are not interested, but you know someone who may be more of a fit for this position, feel free to pass along my contact information. I can be reached from Email ID: [email protected], Driect : 609-934-3158 MLops Engineer Location: Ann Arbor, Michigan (Still Hybrid Tuesday to Thursday on site) VISA: only USC, GC, GC EAD/H1B Need only Deployment Experience, not required build experience. 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 an 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 tool s like JIRA, Ansible, Jenkins, Docker compose, Artifactory, etc. Knowledge of DevOps practices and tools for continuous integration, continuous deployment ( CI/CD), and infrastructure as code ( IaC). Feedback from a client for One of Previous Candidate:: Venkata was overqualified overall and too much in Data Science. About 5+ experience is what they need. Not a lead but can take requirements from Business and create technical requirements Strong communication and listening skills (they will be face to face with business) Multi-task and work independent as a contributor. Technically needs Machine Learning as most of their experience Deploying and Monitoring models MS Azure, SQL Server background. Data Bricks a plus. Candidate Details Candidate Full Name (As per Passport): Contact Number: Email ID: Current Location: Work Authorization/Validity: Highest Education: Year of Passing University: Total Years of Experience: Relevant Years of Experience: USA Years of Experience: Willing To Relocate: Y/N Best time for Phone / Skype Interview:- Notice Period: LinkedIn: Hourly Pay Rate: Thanks & Regards Venu Gopal Reddy Sr. Technical Recruiter Email ID: [email protected] Driect : 609-934-3158 Phone: (609) 934-3184; Ext: 106 Keywords: continuous integration continuous deployment machine learning access management information technology green card microsoft Idaho MLops Engineer [email protected] |
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| Thu Aug 29 19:36:00 UTC 2024 |