Senior/Lead Machine Learning Engineer

Responsibilities

• check_circle Design and implement end-to-end document intelligence pipelines on AWS
• check_circle Develop and optimize ML models for document classification,segmentation, and field extraction
• check_circle Build scalable data processing systems handling PDFs up to 2000 pages
• check_circle Collaborate with subject matter experts to create and refine requirements for extraction
• check_circle Own features from research through production deployment and monitoring
• check_circle Establish evaluation frameworks and quality metrics for extraction accuracy
• check_circle Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• check_circle Experience with AWS tools for ML Engineering and ML deployment(Sag
• check_circle emaker, Lambda, Cloudformation/CDK, Step Functions)
• check_circle Advanced knowledge of SQL and Data Modeling
• check_circle 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
• check_circle Experience in experiment design (power analysis and hypothesis testing)
• check_circle Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• check_circle Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• check_circle Experience owning a feature from concept to production, including proposal, discussion, and execution

Preferred qualifications

• 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.)
• 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
• 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

About the company