Middle Machine Learning Engineer

2 нед. назад

БолгарияВенгрияПольшаMiddle

awsmachine learningpdfdata processingmodel evaluation

Design and implement document intelligence pipelines on AWS, develop and optimize ML models for document processing, and deploy scalable data systems.

О компании

The 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.

Обязанности

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

Требования

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, 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

Будет плюсом

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.)

Условия

We’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.
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

Другое

Upper-intermediate
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.
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.