Senior Machine Learning Engineer

externaljobboards; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

International projects

Remote flexibility

Medical healthcare

Learning budget

Well-being program

Team events

Job summary

Exadel is a global, AI-first technology leader seeking a senior ML engineer to design and deploy document intelligence pipelines on AWS, handling large PDFs and building models for classification, segmentation, and extraction. You will collaborate with experts to refine requirements and own features from research to production.

In a remote and largely asynchronous environment, you will establish evaluation frameworks, monitor extraction accuracy, and build scalable data processing systems to

Qualifications

• Strong experience building end-to-end ML pipelines on AWS for document processing.
• Proven ability to deploy and monitor ML models in production.
• Excellent communication for remote and asynchronous environments.

Responsibilities

• Design and implement document intelligence pipelines on AWS.
• Develop ML models for classification, segmentation, and extraction.
• Collaborate with SMEs to refine extraction requirements.
• Own features from research to production deployment and monitoring.

Skills

Python

TensorFlow

PyTorch

AWS

SQL

GenAI

Experiment design

Education

Bachelor's in CS

Tools

SageMaker

Lambda

CDK/CloudFormation

Step Functions

PyMuPDF

OCR tools

Job description

Why Join Exadel

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.

About the Client

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.

What You'll Do

• 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

What You Bring

• Advanced knowledge of 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

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, 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.)

English Level

Upper-intermediate

Legal & Hiring Information

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.

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.

Your Benefits at Exadel

Exadel 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

Exadel Culture

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.