Senior Machine Learning Engineer

Exadel is an AI-first global tech company with over 25 years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients like HBO, Microsoft, Google, and Starbucks. The client is a leading provider of vehicle lifecycle solutions headquartered in Chicago, delivering advanced AI, mobile, and car technologies, connecting a large network of insurance companies, repair facilities, parts suppliers, and data/service providers to enhance productivity and customer experience.

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML engineering and deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and data modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG, 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 written and verbal communication for remote and asynchronous work
• Experience owning a feature from concept to production

• 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 various dimensions. Reasonable accommodations are available for individuals with disabilities. Compensation details are shared early in recruitment and the offer is binding upon signed contract. Job duties may evolve based on business needs.