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Urgent Senior Machine Learning Engineer || Remote (U.S.) at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=3732431&uid=6c29bd306fb244869988b88d1af47097

From:

Renu,

Tek Pyramids

[email protected]

Reply to: [email protected]

Position: Senior Machine Learning Engineer
Contract Length: 618 months
Location: Remote (U.S.)
Work Authorization: U.S. s or Card holders only

Interview: Video

Candidate Submission Requirements

Updated LinkedIn profile,
minimum 5 years old, with
full name and professional photo

3 professional/managerial references with
official email id and LinkedIn id, that can do reply back to pvs email

Chicago-based candidates and former Hyatt employees strongly preferred

Important Please Read Before Submitting

This is a hands-on, in-the-weeds backend software engineering role, not a Data Science position. The hiring manager has been explicit on this point: candidates with Data Science, research, or analytics-only backgrounds are not a fit, regardless of how strong their ML knowledge is. This role requires someone who writes production backend code daily, builds and ships scalable systems, and owns infrastructure end-to-end. Please screen accordingly before submitting.

Required Qualifications

5+ years of hands-on software engineering experience implementing cloud-native solutions

Strong, demonstrable experience building backend systems supporting ML/algorithmic products

Proficiency in Python, SQL, PySpark, Docker

Strong AWS experience; experience with GCP

Experience building streaming and batch data architectures at scale

Strong system design and backend architecture experience

Experience in Agile environments with DevOps/CI-CD practices

Excellent communication and collaboration skills

Master's degree in Computer Science, Software Engineering, or related field (Bachelor's + strong equivalent experience acceptable)

Preferred Qualifications

Experience with SageMaker

Understanding of feature stores

Hospitality, personalization, or recommendation system experience

Real-time ML inference systems

Infrastructure-as-code experience

Experience supporting AI/LLM-enabled applications (team uses existing LLMs rather than building foundational models)

Best Regards ,

Renu Sharma
Technical Recruiter

Email :

[email protected]

Linkedin-

https://www.linkedin.com/in/renu-sharma-1827821b7/
Contact no :- 248-427-0111 Ext:313

24175 Northwestern Hwy, Suite 120, Southfield, MI 48075

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Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Idaho Michigan
Urgent Senior Machine Learning Engineer || Remote (U.S.)
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=3732431&uid=6c29bd306fb244869988b88d1af47097
[email protected]
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04:54 AM 03-Oct-26


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