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Senior Machine Learning Engineer

Exadel Inc (Website)

Responsibilities

  • 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)
  • Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)

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 capacity 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

Preferred

  • Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
  • Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
  • Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
  • Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

Nice to have

  • English Level
  • Upper-intermediate

Legal & Hiring Information

  • Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
  • Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
  • Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
  • Compensation details are shared with candidates at the early stage of the recruitment process.
  • The offer is not binding until a signed contract is in place.

Your Benefits at Exadel

  • Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
  • International projects
  • In-office, hybrid, or remote flexibility
  • Medical healthcare
  • Recognition program
  • Ongoing learning & reimbursement
  • Well-being program
  • Team events & local benefits
  • Sports compensation
  • Referral bonuses
  • Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.