Middle Machine Learning Engineer

Exadel is an AI-first global tech company with over 25 years of engineering leadership and 2,000+ team members. The client is a leading provider of vehicle lifecycle solutions headquartered in Chicago, enabling companies to build, insure, and replace vehicles with advanced mobile, artificial intelligence, and car technologies. Their platform connects a large network of insurance companies, repair facilities, parts suppliers, and third-party data and service providers to enhance productivity and customer experience.

• Experience in 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 for a remote and largely asynchronous work environment
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have:

• 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, opencv, Pillow)
• Experience in Machine Learning/Data Science (ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning, building model pipelines, using ML tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

• 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

Exadel is an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations available for individuals with disabilities. Duties and responsibilities may evolve based on business needs. Compensation details are provided early in recruitment. Offer is not binding until a signed contract is in place.