Machine Learning Engineer

🕒 April 1

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 68%

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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Aidaptive

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Aidaptive is an innovative technology company specializing in AI-driven solutions for digital commerce, particularly within the eCommerce and vacation rental sectors. The company offers predictive AI platforms that help businesses increase revenue by improving conversion rates and enhancing the personalization of the online booking journey. Aidaptive's solutions include predictive recommendations, search, audiences, and marketing, using advanced machine learning technology to ensure the right properties reach the right guests, thereby optimizing marketing budgets and increasing direct bookings. With headquarters in Cupertino, CA, Aidaptive is recognized as a leading innovator in brand-to-consumer technology.

📋 Description

• Develop solutions for real world, large scale problems. • Design, develop, test, maintain and improve Machine Learning models. • Manage project priorities, deadlines, and deliverables.

🎯 Requirements

• Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience. • Python development experience for modeling. • Experience with deep learning frameworks including TensorFlow and other machine learning libraries • Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field (preferred). • Experience in building, deploying, and improving machine learning models and algorithms in real-world products. • Experience with one or more of the following: natural language processing, computer vision, recommendation systems or similar.