| MLOps Engineer-Remote-Immediate Interview-LTI Mindtree at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2298555&uid= From: Syed Salim, INHERENT TECHNOLOGIES [email protected] Reply to: [email protected] ONLY US- Greetings from Inherent Technologies ! Hope this email finds you in the best of your health, My name is Syed Salim and I'm an IT recruiter at Inherent Technologies. I came across your resume on one of the job boards and wanted to check if you are available for a new role. Look forward to talking to you Position: MLOps Engineer Location: Remote Contract: 1-2 Years Phone & Skype Immediate Interview Job Title: | SF ID : Must | Candidate Name | Contact Number | Email ID | Linked In | Current Location | Work Authorization/Visa Status | Requirement | Rate | Ready to Relocate | Any Offers in Hand/Any Interviews in Pipeline | If Offered how soon can you report to customer location | Skill Matrix on Must have Skills | Skill Rating Mandatory Skills | Hands on experience in Years | Last used -Year | Self-Rating (Scale 1-10) | 1. | | 2. | | | 3. | 4. | MLOps Engineer to work on AWS GovCloud Databricks Job Title: MLOps Engineer to work on AWS GovCloud Databricks Bachelors degree in computer science, Engineering, Applied Mathematics or related field Must be an US and 4-6 years of strong experience with AWS Gov Cloud environments / Export Control / FedRAMP environments Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data science. 4-6 years of strong experience with the following machine learning topics: classification, clustering, imization, deep learning, NLP with Python in a programming intensive role. 6-8 years of strong experience in Python / PySpark coding 4-6 years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.). 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production. 4 to 6 years of strong experience in Azure Databricks / AWS Databricks, specializing in End-to-End MLOps architecture, with practical expertise in Databricks Unity Catalog, MosaicAI, serverless solutions, MLOps stacks, and Lakehouse monitoring, among other areas. 4-6 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc. 4-6 years of experience with CI/CD Dev Ops process. Effective communication skills and succinct articulation Experience working with remote and global teams and cross team collaboration Keywords: continuous integration continuous deployment machine learning information technology card Idaho MLOps Engineer-Remote-Immediate Interview-LTI Mindtree [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2298555&uid= |
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| 12:44 AM 29-Mar-25 |