Middle Machine Learning Engineer

Exadel Inc (Website)
Bulgaria +2 more
On-siteCareer-pivot friendly

Who this role is best for

Best suited to candidates with experience in ML document processing and AWS engineering working in enterprise transportation and insurance tech.

Best fit for

  • Individuals who have worked on large-scale data systems with a focus on PDF processing
    — “Build scalable data processing systems handling PDFs up to 2000 pages”
  • Candidates comfortable with remote and asynchronous collaboration and technical communication
    — “Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment”

Things to consider

  • The role requires strong ownership of features from research to deployment and monitoring
    — “Own features from research through production deployment and monitoring”
  • Candidates must be fluent in English at an upper-intermediate level
    — “English Level Upper-intermediate”

How to stand out

  • Highlight experience with end-to-end ML pipelines and document processing systems in your resume
    — “Design and implement end-to-end document intelligence pipelines on AWS”
  • Showcase your ability to deploy GenAI models using AWS Bedrock or Azure OpenAI APIs
    — “production deployment using AWS Bedrock or Azure OpenAI APIs”
  • Emphasize your track record of owning features from concept to production
    — “Experience owning a feature from concept to production, including proposal, discussion, and execution”
  • Demonstrate your ability to communicate complex technical problems clearly
    — “Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • accurate document classification
  • efficient data processing
  • optimized ML models
Typical background
machine learning engineerdata scientist

Skills & requirements

Required

Document Intelligence PipelinesML Model DevelopmentData Processing SystemsFeature Engineering

Preferred

Document Processing ToolsPDF And Image Processing Libraries

Stack & domain

PythonPandasScikitlearnTensorFlowPyTorchAWS SagemakerAWS LambdaAWS Cloudformation/cdkAWS Step FunctionsSQLGenaiAWS BedrockAzure Openai ApisPDF And Image Processing LibrariesMachine LearningData ScienceAWS Big Data Technologies

About the role

Original posting from Exadel Inc (Website) via Greenhouse

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

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

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.

Source: Exadel Inc (Website) careers (Greenhouse)

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