Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4325514123&f_AL=true&f_TPR=r86400&f_WT=2&keywords=machine%20learning%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&spellCorrectionEnabled=true&start=50

Job Description: Python Developer with Healthcare 
Kentucky, United States · 3 hours ago · Over 100 applicants
Promoted by hirer · Company review time is typically 1 week


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Save Python Developer with Healthcare  at Technogen, Inc.
Python Developer with Healthcare
Technogen, Inc. · Kentucky, United States (Remote)

Easy Apply

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Save Python Developer with Healthcare  at Technogen, Inc.
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Meet the hiring team

Mahmood Bafana  
 3rd
Innovative Talent Acquisition Lead | Specializing in Recruitment Excellence
Job poster

Message
About the job
Hi There,


I am Mahmood Bafana – Senior Talent Acquisition Specialist with Technogenic, we are looking to hire a Talented Professional with below skill set to work with one of our clients and came across your profile and wondering if you might interested or exploring the job market, if so, Please share me your resume at Bafana.m@technogeninc.com


Position: Python Developer

Location: Remote

Duration: Contract



POSITION OVERVIEW :

We need a Feature / ML Platform Engineer (Contractor) to build and support production-grade offline and online feature pipelines using Databricks, Spark/PySpark, Delta Lake, and streaming platforms (Kafka/EventHub). This role will develop and maintain our feature store, ensure training-serving consistency, build low-latency feature retrieval layers for real-time model scoring, and support ML workflows end-to-end.


Required Qualifications 

8+ years of experience with ML feature engineering, feature stores (Databricks FS, Feast, or equivalent), cloud platforms, and data quality practices. 
4+ years of Hands-on use of GenAI engineering tools (Cursor, Windsurf, GitHub Copilot, Databricks Assistant) is required to accelerate pipeline development, validation, automation, and documentation. 
5+ years of experience in delivering tested, reliable, well-documented feature pipelines and enable seamless integration with downstream ML and decisioning systems.


Best Regards,

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