| 100% Remote || ML Ops- Python engineer (Sagemaker) || Long Term Contract at Remote, Remote, USA |
| Email: [email protected] |
| All Must: ML Ops, Python, Sage maker Need H1B /H4 EAD Please mention Visa status while sending resume. Rate: $57/hr on C2C Job Title- ML Ops- Python engineer (Sagemaker) Location: Remote ( Johnston, R.I. ) Type: : Long Term Contract Role Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer with a strong background in Java microservices, Apache Spark, Vector DB and expertise in deploying and operationalizing Large Language Models (LLMs) through platforms like SageMaker on containerization platforms. Responsibilities: Design, develop, and maintain Java microservices to support machine learning applications and data processing pipelines. Implement and optimize Apache Spark code for large-scale data processing and analytics. Work collaboratively with data scientists, architects, and cross-functional teams to deploy, scale, and maintain LLM models. Architect and build scalable and efficient systems for handling and processing machine learning workloads. Work with vector databases to efficiently store and retrieve vector representations of data. Optimize vector database operations for enhanced performance. Collaborate with DevOps teams to ensure smooth deployment and operation of ML models in production. Stay updated on industry best practices and advancements in machine learning, Java, and Spark technologies. Qualifications: Bachelor's or masters degree in computer science, Machine Learning, or a related field. Minimum of 3 to 5 years of professional experience in machine learning engineering, with a strong emphasis on Java microservices and Spark. Proven experience in deploying and maintaining machine learning models, preferably Large Language Models. Proficiency in Java programming, with a focus on microservices architecture. Extensive hands-on experience with Apache Spark for data processing and analytics. Familiarity with deploying and managing models on SageMaker or other cloud-based ML platforms. Strong understanding of machine learning concepts and workflows. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Effective communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Your sincerely , Ajay Sharma | Sr. Technical Recruiter. Net 2Source Inc. Office: (201) 266-5207 x EXT- 430 | 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: machine learning database rlang information technology New Jersey 100% Remote || ML Ops- Python engineer (Sagemaker) || Long Term Contract [email protected] |
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| Fri Apr 05 20:16:00 UTC 2024 |