| Only for USC / GC / EAD || 100% Remote || MLOPS Engineer || Long Term Contract at Remote, Remote, USA |
| Email: [email protected] |
| Only for USC / GC / EAD || Rate : $78/hr on C2C || Only 10+ Years Job Title- Job Title: Machine Learning OPS Engineer Job location: Remote Duration: Contract Experience : 10+ years Required: NLP / NLU and LLM (ChatGPT / LLama / Falcon / Vicuna / Bard etc.) for AI ML Development, Azure, CICD, GIT, Terraform. Responsibility: Collaborate with data scientists to build and automate deploy end-to-end production grade machine learning models and systems Transform and productionize advanced machine learning models into scalable, reliable, secure, and maintainable, machine learning enabled software products in continuous integration and deployment manner Collaborate with other engineering teams develop and maintain machine learning services API endpoint for AI models integration and adoption Build and maintain machine learning workflows and pipelines to manage entire life cycle of machine learning enabled products from experimentation, serving, monitoring, hyperparameter tuning, bias and fairness testing and continuously improving machine learning solutions. Experience: BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields 5+ years of experience deploying and productionizing machine learning models and systems with predictive modeling, machine learning, reinforcement learning, bandits, NLP/NLU, LLMs with a strong foundation in statistics Experience in building distributed pipeline, tuning, optimizing and evaluating machine learning models on large scale datasets Experience in collaborating with other engineering teams to ship and integrate machine learning models to other applications at scale Excellent Programming skills in Python and SQL, with working experience in Apache Spark, Hadoop, Kafka, Databricks, Snowflake, or other big data systems Proficiency in machine learning frameworks and packages, such as scikit-learn, Tensorflow, PyTorch and Rays Experience with large scale streaming platforms (e.g. Kafka, Event Hub, Databricks Live Table / Structured Streaming), processing frameworks (e.g. Spark, Databricks) and storage engines Experience deploying machine learning models into Microsoft Azure cloud (e.g. Azure ML, Databricks, Azure Data Factory, MLFlow, AKS) with a focus on scalability at low cost Excellent communication skills ability to communicate technical concepts to both technical and non-technical audiences Experience in CI/CD technology, Terraform and Git Your sincerely , Ajay Sharma | Sr. Technical Recruiter. Net 2Source Inc. Fax: (201) 221-8131 | Email: [email protected] Global HQ Address: 270 Davidson Ave, Suite 704, Somerset, NJ 08873, USA Web: www.net2source.com | Social: | | Disclaimer: Information contained and transmitted by this E-MAIL including any attachment is proprietary to Net2Source (along with its subsidiaries and affiliates) and is intended solely for the addressee/s, and may contain information that is privileged, confidential or exempt from disclosure under applicable law. Access to this e-mail and/or to the attachment by anyone else is unauthorized. If this is a forwarded message, the content and the views expressed in this E-MAIL may not reflect those of N2S. If you are not the intended recipient, an agent of the intended recipient or a person responsible for delivering the information to the named recipient, you are notified that any use, distribution, transmission, printing, copying or dissemination of this information in any way or in any manner is strictly prohibited. If you are not the intended recipient of this mail kindly delete from your system and inform the sender with a copy to [email protected]. There is no guarantee that the integrity of this communication has been maintained and nor is this communication free of viruses, interceptions, or interference. The GDPR (General Data Protection Regulation) came into effect on May 25, 2018, we have your e-mail address in our database to keep you updated with news, updated and notifications. Please view our Data Privacy Policy for more information. -- Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology green card microsoft New Jersey |
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| Fri Feb 23 23:14:00 UTC 2024 |