Principal Machine Learning (ML) Engineer
About The Position
We are seeking a machine learning expert who can help us extract valuable insights from customer data and operationalize AI at scale. As the lead, you will oversee all aspects of the ML lifecycle, including data collection, cleaning, pre-processing, model training, and production deployment. You are well-versed in MLOps and understand how to build trustworthy, mission-critical AI systems. We are looking for a candidate who is passionate about artificial intelligence and stays current with the latest advancements in the field. Initially, this role will require the candidate to work independently with customers, assisting them in developing new business opportunities until a suitable long-term project for growth is identified.
Requirements
- Deep understanding of Neural Networks, Heuristics, and Operations Analysis Algorithms
- Ability to obtain and maintain a Top Secret Security Clearance
- All of the programs we support require U.S. citizenship to be eligible for employment.
- All work must be conducted within the continental U.S.
Nice To Haves
- Experience with edge AI and autonomous data fusion systems
- Familiarity with defense and national security applications
- candidates based in DMV/NCR, Tampa, FL, or Hanscom AFB, MA strongly preferred
Responsibilities
- Demonstrated ability to introduce new technology into organizations to further their ability to drive value from data using AI/ML
- Design, develop, and research Machine Learning systems, models, and schemes
- Study, transform, and convert data science prototypes into production-ready systems
- Search and select appropriate data sets before performing data collection and data modeling
- Perform statistical analysis and use results to improve models
- Train and retrain ML systems and models as needed
- Identify differences in data distribution that could affect model performance in real-world situations
- Visualize data for deeper insights
- Analyze use cases of ML algorithms and rank them by success probability
- Understand when findings can be applied to business decisions
- Enrich existing ML frameworks and libraries
- Verify data quality and ensure it via data cleaning
Benefits
- Highly competitive salary
- Fully covered healthcare, dental, and vision coverage
- 401(k) and company match
- Take as you need PTO + 11 paid holidays
- Education & training benefits
- Annual budget for your tech needs
- Generous Referral Bonuses
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
Number of Employees
251-500 employees
