Senior Machine Learning Developer

Job not on LinkedIn

🔥 2 minutes ago

🇧🇬 Bulgaria – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 14%

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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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, required for a remote and largely asynchronous work environment • Demonstrated ability to clearly and concisely communicate complex technical problems and propose iterative solutions • Experience owning a feature from concept to production, including proposal, discussion, and execution • Experience with AWS tools for ML Engineering and ML deployment • Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems) • Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)