| Urgent Need on Sr ML engineer with Recommendations Engine exp--Plano,Texas,United States at Plano, Texas, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=762215&uid= Good Day Hope you are doing well, I came across your resume online and I wanted to reach out to see if you are looking for a new position! Below I have included a Job Description for a role that I think would be a good fit. After you are done reviewing this, give me a call so we can discuss this opportunity further. I look forward to hearing from you. Role: Sr ML engineer with Recommendations Engine exp Location Plano,Texas,United States Job Description Sr ML engineer with Recommendations Engine exp Experience : 8+ years Location: Plano, Texas (Onsite / Hybrid) Job Description: We are seeking an experienced Sr. Developer Machine Learning Engineer to join our team. The successful candidate will be responsible for building and scaling state-of-the-art recommendation engines leveraging the latest machine learning techniques and technologies. The ideal candidate will possess extensive experience in building recommender systems at scale in production and have expertise in Merlin Models, GPU-based recommender systems, collaborative filtering, content-based filtering, matrix factorization, and the Azure Databricks ecosystem with ML Flow proficiency. Responsibilities: Design, develop, and deploy scalable machine learning models for recommendation systems. Collaborate with cross-functional teams to gather requirements and define project objectives. Leverage Merlin Models for effective recommendation engine development. Implement GPU-based recommender systems for efficient and high-performance recommendations in production. Apply collaborative filtering, content-based filtering, and matrix factorization techniques to enhance the recommendation engine's performance. Utilize the Azure Databricks ecosystem and ML Flow for seamless integration, model deployment, and monitoring. Continuously improve the recommendation engine's performance through experimentation, optimization, and regular updates. Develop and maintain documentation, including project plans, system architecture, and user guides. Stay up-to-date with the latest advancements in machine learning, recommendation systems, and industry trends to ensure the company remains at the forefront of innovation. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred). 5+ years of experience in machine learning engineering, with a focus on recommendation systems. Proven experience building and deploying recommender systems at scale in production. Deep understanding of Merlin Models, GPU-based recommender systems, collaborative filtering, content-based filtering, and matrix factorization. Proficiency in the Azure Databricks ecosystem and ML Flow. Strong programming skills in Python or similar languages. Familiarity with machine learning frameworks, such as PyTorch. Excellent problem-solving, analytical, and communication skills. Ability to work effectively in a fast-paced, dynamic environment, both independently and as part of a team. -- Best Regards, Priyanka Bondili Technical Recruiter +1 7324662856 Ext 6385 Direct:972 388 1946 [email protected] www.avanceservices.com Avance Consulting |1170 Rt 22 | Bridgewater Suite#301 | New Jersey 08807| Disclaimer: This e-mail communication and any attachments to it are confidential and privileged to Avance Consulting and are strictly intended only for the personal and confidential use of the designated recipient(s) named above. If you are not the intended recipient of this message, you are hereby notified that any review, dissemination, distribution or copying of this message is strictly prohibited and may be unlawful. Please notify the sender immediately and destroy all copies of this message along with all attachments there to. -- Keywords: machine learning information technology http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=762215&uid= |
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| 12:57 AM 18-Oct-23 |