{"id":1401456,"url":"https://alion.io/job/exadel-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":713122,"name":"Exadel","domain":"exadel.com","url":"https://alion.io/company/exadel-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["BG","HU","PL"],"hiring_countries_total":3,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":129000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1507},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"CloudFormation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"Machine Learning","optional":true},{"name":"OCR","optional":true}],"status":"live","first_seen_at":"2026-09-28T14:54:24Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-09-29T01:57:18Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Why Join Exadel\nWe’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.\nFrom AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.\nWhat powers it all? Our people are ambitious, collaborative, and constantly evolving.\nAbout the Client \nThe 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.\nWhat You’ll Do\nDesign and implement end-to-end document intelligence pipelines on AWS\nDevelop and optimize ML models for document classification,segmentation, and field extraction\nBuild scalable data processing systems handling PDFs up to 2000 pages\nCollaborate with subject matter experts to create and refine requirements for extraction\nOwn features from research through production deployment and monitoring\nEstablish evaluation frameworks and quality metrics for extraction accuracy\nWhat You Bring\nExperience in Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)\nExperience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)\nAdvanced knowledge of SQL and Data Modeling\nExperience 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\nExperience in experiment design (power analysis and hypothesis testing)\nProficiency in both written and verbal communication, required for a remote and largely asynchronous work environment\nDemonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions\nExperience owning a feature from concept to production, including proposal, discussion, and execution\nNice to have \nExperience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)\nExperience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)\nExperience 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)\nExperience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)\nEnglish Level\nUpper-intermediate\nLegal & Hiring Information\nExadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.\nReasonable accommodations are available to enable individuals with disabilities to perform essential functions.\nPlease note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.\nCompensation details are shared with candidates at the early stage of the recruitment process.\nThe offer is not binding until a signed contract is in place.\nYour Benefits at Exadel \nExadel benefits vary by location and contract type. Your recruiter will fill you in on the details.\nInternational projects\nIn-office, hybrid, or remote flexibility\nMedical healthcare\nRecognition program\nOngoing learning & reimbursement \nWell-being program\nTeam events & local benefits \nSports compensation \nReferral bonuses \nTop-tier equipment provision\nExadel Culture\nWe 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.","description_format":"text","description_chars":4190,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":true}]},"benefits":[],"hiring_locations":[{"name":"Bulgaria","iso":"BG","kind":"country"},{"name":"Hungary","iso":"HU","kind":"country"},{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-28T15:52:01Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":49,"reasons":["conf:1","win:early"],"computed_at":"2026-09-29T03:33:09Z"},"pay":null,"html_url":"https://alion.io/job/exadel-senior-machine-learning-engineer","json_url":"https://alion.io/job/exadel-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-09-29T03:33:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3250,"day_limit":5000,"remaining_today":1750,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}