Senior Machine Learning Engineer

Why Join ExadelWe’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.What powers it all? Our people are ambitious, collaborative, and constantly evolving.About The ClientThe leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer’s collective solutions enhance productivity and help clients deliver better experiences for end consumers.What You’ll DoDesign and implement end-to-end document intelligence pipelines on AWSDevelop and optimize ML models for document classification,segmentation, and field extractionBuild scalable data processing systems handling PDFs up to 2000 pagesCollaborate with subject matter experts to create and refine requirements for extractionOwn features from research through production deployment and monitoringEstablish evaluation frameworks and quality metrics for extraction accuracyWhat You BringAdvanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)Advanced knowledge of SQL and Data ModelingExperience 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 APIsExperience in experiment design (power analysis and hypothesis testing)Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environmentDemonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutionsExperience owning a feature from concept to production, including proposal, discussion, and executionNice to haveExperience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions) 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.)Legal & Hiring InformationExadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and moreReasonable accommodations are available to enable individuals with disabilities to perform essential functionsPlease note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needsYour Benefits at ExadelExadel benefits vary by location and contract type. Your recruiter will fill you in on the details.International projectsIn-office, hybrid, or remote flexibilityMedical healthcareRecognition programOngoing learning & reimbursement Well-being programTeam events & local benefits Sports compensation Referral bonuses Top-tier equipment provisionExadel CultureWe 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.