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Information Technology - Software Engineer_AI/ML Engineer

LanceSoft Inc

  • Boston, MA
  • 5 days ago
  • $55–$60 Per Hour

Highlights

As AI/ML Engineer at Compliance Tech you will: Develop, test, and enhance machine learning and advanced analytics models supporting AML, sanctions screening, transaction monitoring, and alert prioritization. Perform hands on data analysis using large transactional and reference datasets to identify patterns, anomalies, and risk indicators related to financial crime.

Numbers & Facts

LocationBoston, MA
IndustryStaffing/Employment Agencies
Salary$55–$60 Per Hour
Company Size2,000 to 2,499 employees
Year Founded2000
Websitehttp://www.lancesoft.com/

Description

Job Description:
As AI/ML Engineer at Compliance Tech you will:
  • Develop, test, and enhance machine learning and advanced analytics models supporting AML, sanctions screening, transaction monitoring, and alert prioritization.
  • Perform hands on data analysis using large transactional and reference datasets to identify patterns, anomalies, and risk indicators related to financial crime.
  • Support feature engineering activities, including data exploration, feature selection, and transformation to improve model performance and stability.
  • Train, evaluate, and tune models using appropriate techniques and performance metrics (e.g., precision, recall, false positive reduction).
  • Assist in validating model outputs by analyzing false positives, false negatives, and alert quality in partnership with compliance and operations teams.
  • Contribute to model documentation, including assumptions, methodologies, limitations, and performance results, to support audit and regulatory review.
  • Support ongoing model monitoring and performance tracking, identifying drift, degradation, or data quality issues and recommending remediation.
  • Work with data engineering teams to understand data pipelines, resolve data issues, and ensure model inputs remain accurate and reliable.
  • Participate in Agile delivery processes, contributing to user stories, testing activities, and release support for AI/ML solutions.
  • Support User Acceptance Testing (UAT) by validating model behavior against business and compliance expectations.
  • Stay current on emerging AI/ML techniques, open source tools, and industry trends relevant to financial crime and compliance analytics.
  • Be able to translate complex ideas into cogent business requirements documents
  • Be proficient creating BRDs and data mapping documents.
  • Collaborate with cross-functional teams to identify requirements, provide guidance, ask and respond to questions and assist with resolving complex issues.
  • Ensure that any gaps identified in the BRD are addressed and rectified by the relevant team.
  • Support development and testing teams by answering questions and updating documentation as needed based on feedback.
  • Be responsible for communication, resolution, and potential escalation of critical issues.
  • Work with the Project Manager and Product Owner to create and manage user stories using Jira
  • Support team in triaging issues found during testing.
  • Be able to work in a complex, deadline driven organization on projects with minimal supervision.
  • Analyze complex problems, derive options and solutions and present in an understandable manner to stakeholders, developers, testers and users at multiple levels.

About Company

We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc). 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.

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