Senior Machine Learning Developer

Job not on LinkedIn

🕒 January 27

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 57%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

RecruityTalent

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

💼 Consulting

📦 Logistics

🎯 Recruiter

Consulting • Logistics • Recruitment

RecruityTalent is a recruitment agency that partners with companies to manage the full hiring lifecycle, offering standard and flexible solutions through onsite recruitment projects and agency services. It provides end-to-end hiring support — including job postings, candidate sourcing, screening, interviews and offer management — with experience in IT, BPO and executive search, aligning hiring to clients' business vision and company culture.

📋 Description

• Design and implement end-to-end document intelligence pipelines on AWS • Develop and optimize ML models for document classification, segmentation, and field extraction • Build scalable data processing systems handling PDFs up to 2000 pages • Collaborate with subject matter experts to create and refine requirements for extraction • Own features from research through production deployment and monitoring • Establish evaluation frameworks and quality metrics for extraction accuracy

🎯 Requirements

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic) • Advanced knowledge of SQL and Data Modeling • Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs • Experience in experiment design (power analysis and hypothesis testing) • Proficiency in both written and verbal communication • Demonstrated ability to clearly and concisely communicate complex technical problems and propose iterative solutions • Experience owning a feature from concept to production

🏖️ Benefits

• GDPR-compliant agency • Ensure data confidentiality • Securely stored candidate information