Python ML Engineer

Job not on LinkedIn

🕒 February 13

🇴🇲 Oman – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 29%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NextHire

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤝 B2B

👥 HR Tech

🎯 Recruiter

B2B • HR Tech • Recruitment

NextHire is a technology driven recruitment platform that enables companies to hire 2x faster with its advanced algorithms based on years of data. The leadership team has several decades of collective experience working for top product development companies in India. NextHire believes in breaking the conventional ideas that have been rooted in the staffing industry. The company provides end to end recruitment solutions and is developing tools to help shape the future of the recruitment industry, trusted by over 100 brands, MNCs, and startups.

📋 Description

• Design, train, debug, and improve object detection models • Build training pipelines and manage datasets • Perform error analysis and optimize inference • Deliver production-grade services using Docker and CI/CD • Write technical documentation and maintain logging/monitoring systems

🎯 Requirements

• 8 years of experience • Proficiency in Python • Strong experience with PyTorch • Strong model debugging skills • Experience with experiment tracking tools like W&B and/or MLflow • Knowledge of data pipelines using PyTorch Dataset/DataLoader • Strong understanding of Computer Vision fundamentals • Hands-on experience with modern object detectors like YOLO, Faster R-CNN • Experience in deployment using Docker and CI/CD tools • Ability to read research papers and quickly implement ideas

🏖️ Benefits

• Work from Home (WFH) • Sunday to Thursday working days • Flexible work arrangements