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ML Engineer (Machine Learning / AWS ML)
  • Python
  • Machine Learning
  • Big Data
  • Excel
  • Database
  • Data Mining
  • Modeling
DMI
Philadelphia, PA 19107
132 days ago
About DMI:

DMI (Digital Management, LLC.), the world’s first end-to-end mobility company, combines all the skills and services necessary to deliver mobile enterprise solutions. Built to reinvent business through mobility, DMI has expertise in mobile strategy, UX, web, and app development, omni-channel commerce, brand and marketing, IoT and big data analytics, and secure device and app management. The company’s unique, integrated approach to mobility has resulted in dramatic growth as well as an expanding client base, which includes hundreds of Fortune 1000 commercial clients and all fifteen U.S. Federal Departments. DMI is headquartered in Bethesda, MD, with satellite offices around the world. The company was named one of the 2018 Top Workplaces in the Washington, DC area by The Washington Post and received Inc. Magazine’s Hire Power Award as one of the top 100 Private Job Creators in the US. Additional information is available at www.dminc.com and on LinkedIn, Twitter, Facebook, and Instagram.


About the Opportunity:DMI (Digital Management, LLC.) is looking for a ML Engineer (Machine Learning /AWS ML) to support
Duties and Responsibilities:
DMI is looking for a machine learning (ML) engineer with hands-on experience building ML models for OCR and document classification. The ideal candidate is will have experience with AWS ML platforms such as AWS Sagemaker and AWS Comprehend. They must have experience with end-to-end ML pipelines and deployment of ML models. They must be comfortable working with a wide range of stakeholders and functional teams.
Roles and responsibilities
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, loyalty targeting and other business outcomes.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifying factors

  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Knowledge of a variety of machine learning techniques (XGBoost, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Familiarity with the following software/tools:
    • Knowledge and experience in statistical and data mining techniques: XGBoost, text mining, GLM/Regression, Random Forest, Boosting, Trees,
    • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
    • Experience using AWS AI/ML, XG boost, AWS comprehend and Tesseract
    • Experience using web services, AWS API gateways, etc.

Qualifications:Education and Years of Experience:
  • We are looking for someone with prior experience manipulating data sets and building models for document classification and OCR.
  • Certification in any of the above areas (e.g. AWS) would be a plus.
  • The candidate must be able to articulate and present insight into the working of relevant algorithms and models.

Required Skills/Certifications:
  • Excellent presentation and communication skills
  • Communicating insights to technical as well as non-technical audiences

Location: Philadelphia, PA


Working at DMIDMI is a diverse, prosperous and rewarding place to work. Being part of the DMI family means we care about your wellbeing. As such, we offer a variety of perks and benefits that help meet various interests and needs, while still having the opportunity to work directly with a number of our award winning, Fortune 1000 clients. The following categories make up your DMI wellbeing:
  • Community – Blood drives, volunteering opportunities, Holiday parties, summer picnics, Tech Chef, Octoberfest just to name a few ways DMI comes together as a community.
  • Convenience/Concierge - Virtual visits through health insurance, pet insurance, commuter benefits, discount tickets for movies, travel and many other items to provide convenience.
  • Development – Annual performance management, continuing education and tuition assistance, internal job opportunities along with career enrichment and advancement to help each employee with their professional and personal development.
  • Financial – Generous 401k match for both pre-tax and post-tax (ROTH) contributions along with financial wellness education, EAP, Life Insurance and Disability help provide financial stability for each DMI employee.
  • Recognition – Great achievements do not go unnoticed by DMI through Annual Awards ceremony, service anniversaries, peer-to-peer acknowledgement through Give-A-Wow, employee referral bonuses.
  • Wellness – Healthcare benefits, Wellness programs, Flu Shots, Biometric screenings, on-site lactation rooms provide employees with several wellness options.
Employees are valued for their talents and contributions. We all take pride in helping our customers achieve their goals, which in turn contributes to the overall success of the company.The company does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans, and to treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. DMI is an Equal Opportunity Employer Minority/Female/Veterans/Disability. DMI maintains a drug-free workplace.
***************** No Agencies Please *****************
Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions.

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