Senior Machine Learning Engineer

ASRC FederalMoorestown, NJ
Onsite

About The Position

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ.

Requirements

  • Bachelor's degree and a minimum of 5-7 years of experience in a related or applicable field, or an equivalent combination of education and experience
  • This position requires the ability to obtain and maintain a government clearance, U.S. Citizenship is required
  • This position requires the successful applicant to obtain and maintain the required security clearance or other authorization(s) within the necessary timeframe required by applicable contract(s)
  • Requires advanced understanding and ability to apply standards, principles, theories, and technical concepts obtained through advanced education combined with experience
  • Has practical knowledge of project management
  • Works to achieve operational targets with significant impact on departmental results
  • Requires being responsible for managing entire technical projects within job area
  • Requires being responsible for developing technical solutions that may require collaboration with internal expertise and deep analysis of the technical system
  • Requires efficient communication with parties within and outside of own job function
  • Requires being responsible for communicating with parties external to ASRC Federal (e.g., customers, vendors, etc)
  • Requires the ability to write and implement company policies pertaining to relevant technology
  • Responsible for running small technical teams while providing guidance, coaching and training to employees within job area
  • Lead projects, requiring the delegation of work and the review of others' work product
  • Basic knowledge of machine learning techniques including popular frameworks (e.g., PyTorch or TensorFlow)
  • Experience with LLM prompting and Transformer architecture

Nice To Haves

  • Hands-on experience with PyTorch and related Python libraries
  • Experience with unsupervised learning including clustering algorithms and manifold learning
  • Strong writing and presentation skills are preferred

Responsibilities

  • Develops, researches, and applies machine learning, deep learning, visual artificial intelligence algorithms and methods to data sets to produce models to be deployed in an operational aspect
  • Develops hypotheses based on data analysis and trends, and compares real-time results with predictions to update and fine-tune algorithms
  • Develops assessment methods to ensure production models are robust and reliable
  • Collaborates with different business units and stakeholders
  • Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage
  • Conducts quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classification
  • Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business
  • Implementing emerging AI/ML solutions from commercial and academic domains to support military and government agencies with prediction, classification, and anomaly detection tasks
  • Evaluating, visualizing, and performing statistical analysis on data sets including time-series, multi-modal, and textual data
  • Training deep neural networks including MLPs, CNNs, Transformers, and others as required
  • Working with existing modeling and simulation (M&S) tools to develop data for new AI/ML models
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