| Machine Learning Engineer :: Location : Chicago, IL Remote at Chicago, Illinois, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=779578&uid= Hi , Hope you are doing good, My name is Lokesh and I am a Staffing Specialist at Cloud think Technologies . I have the below open position with our client, please find and let me know your interest along with updated copy of resume and best contact number to discuss further if comfortable & interested in this role. Role: Machine Learning Engineer Location : Chicago, IL Remote Position type : Contract Project Duration : Long Term Detailed JD : We are seeking a highly skilled and motivated Machine Learning Engineer who possesses expertise in developing, deploying, and managing machine learning models. In this role, you will be an integral part of our AI Engineering and Site Reliability Engineering (SRE) teams, responsible for managing Azure infrastructure for AI model development and deployment, monitoring and reporting model performance, and responding to outages/incidents related to model operations. Key Responsibilities: Manage Azure Infrastructure : Configure, maintain, and optimize Azure infrastructure for AI model development and deployment, ensuring scalability and performance. Model Performance Monitoring: Implement and maintain monitoring systems to track model performance, proactively identifying and addressing issues as they arise. Incident Response: Collaborate with the SRE team to respond promptly to outages and incidents related to model operations, ensuring minimal downtime and rapid issue resolution. Skills and Qualifications: Azure Infrastructure Experience : Proficiency in managing Azure infrastructure components, including virtual machines, storage, and networking, to support AI model development and deployment. CI/CD Pipeline Experience: Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines, including the automation of model deployment processes. Containerization in the Cloud: Strong knowledge of containerization technologies in the cloud, such as Docker and Kubernetes, for efficient deployment and scaling of machine learning models. Machine Learning Expertise: Proficient in building and optimizing machine learning models, with a deep understanding of various ML algorithms and frameworks. Programming Skills: Proficiency in programming languages commonly used in machine learning, such as Python and libraries like TensorFlow and PyTorch. Data Management: Experience in data preprocessing, feature engineering, and data pipeline development for machine learning. Collaborative Team Player: Excellent communication skills and the ability to work collaboratively with cross-functional teams, including AI engineers and SREs. Documentation: Effective documentation skills to maintain clear and organized records of models, infrastructure configurations, and incident responses. Preferred Qualifications : Experience with cloud-based machine learning platforms (e.g., Azure Machine Learning). Experience with CI/ CD tools to deploying ML services and applications specific to Azure cloud platform Familiarity with DevOps practices and tools for automating infrastructure and deployments. Knowledge of model versioning and model management tools. Understanding of security best practices in AI model deployment. Certifications in relevant areas, such as Azure certifications or machine learning certifications. Looking forward to work with you! Thanks & Regards Lokesh Yadav Sr. Technical Recruter Cloud Think Technologies M: E: [email protected] Website: https://cloudthinktech.com/ LinkedIn: https://www.linkedin.com/in/lokesh-yadav-35941b223/ Address: 12301 Kernan Forest BLVD APT 1407, Jacksonville FL, 32225 Please consider the environment before printing this e-mail. DISCLAIMER The information in this e-mail is confidential and may be legally privileged. It is intended solely for the addressee. Access to this e-mail by anyone else is unauthorized. If you have received this communication in error, please notify the sender and delete the e-mail and destroy any copies of it. If you are not the intended recipient, any disclosure, copying, distribution or any action taken or omitted to be taken in reliance on it, is prohibited and may be unlawful. Any opinions or advice contained in this e-mail are subject to the terms and conditions expressed in the governing Cloud Think Technologies client engagement letter. Opinions, conclusions and other information in this e-mail and any attachments that do not relate to the official business of the firm are neither given nor endorsed by it. Cloud Think Technologies cannot guarantee that e-mail communications are secure or error-free, as information could be intercepted, corrupted, amended, lost, destroyed, -- Keywords: continuous integration continuous deployment artificial intelligence machine learning access management information technology Florida Illinois http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=779578&uid= |
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| 08:01 PM 23-Oct-23 |