Middle/Senior Machine Learning Engineer (7973)

We are looking for a talented Middle/Senior Machine Learning Engineer to join our team of innovators. This role works closely with data scientists, software engineers, and subject matter experts in different business areas within projects to build a document intelligence solution based on the latest GenAI technology.

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

Our client is a Chicago-based leader in vehicle lifecycle innovation. Their platform connects 350+ insurers, 24,000+ repair shops, and parts/data providers through AI and mobile tech—driving smarter experiences and operational efficiency.

Project stage

Under Active Development

Project Team

Data Engineers, Data Scientists, Software Engineers

What You’ll Do

• Building a document intelligence solution based on the latest GenAI technology
• Providing teams with operational support and developing solutions
• Building model pipelines, implementing appropriate ML algorithms
• Collaborating closely with data scientists, software engineers, and subject matter experts to provide top-notch solutions

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI (prompt engineering, optimization, API engineering)
• Skills in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building model pipelines, using Machine Learning tools/libraries/frameworks)
• Expertise in language modeling (e.g., transformers, HuggingFace, Named Entity Recognition, text cleaning)
• Competency in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication required for a remote and primarily 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
• Self-motivated and self-managed with strong organizational skills

Nice to Have

• Master’s degree in computer science, mathematics, statistics, or other quantitative fields
• Experience with AWS tools for ML Engineering and ML deployment (Sagemaker,
• Lambda, Cloudformation/CDK, Step Functions)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
• Background in healthcare or insurance

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

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.

Advantages of Working with Exadel

Exadel is a global company, and benefits can vary depending on your location and contract type. Your recruiter will provide specific information about the benefits available to you.

• International projects
• In-office, hybrid or remote mode
• Medical healthcare
• Recognition program
• Professional & personal development opportunities
• Foreign languages classes
• Well-being program
• Corporate events
• Sports compensation
• Referral program
• Equipment provision
• Paid vacation & sick days