Artificial Intelligence/Machine Learning Engineer (Telework elig with Security Clearance

Wyetech, LLC; Maryland; On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Benefits package

Job summary

Wyetech, LLC in Annapolis Junction, Maryland, seeks an Artificial Intelligence/Machine Learning Engineer (Full-Time, On-site) to design, test, and productize AI/ML algorithms for federal government customers. The role focuses on building scalable models, data pipelines, and performance metrics, with emphasis on training, deployment, and governance.

Candidates should have TS/SCI with poly, 5 years of applied ML experience, and a Master’s or Ph.D.

Qualifications

• TS/SCI with agency poly.
• 5 years of applied ML experience in similar programs.
• Master's or Ph.D. in AI/ML related field (or equivalent).
• 5 additional years with a Bachelor's can substitute for a Master's degree.
• Experience with PyTorch and TensorFlow.

Responsibilities

• Select appropriate data sets.
• Perform statistical analysis.
• Run machine learning algorithms.
• Use results to improve models.
• Train and retrain systems when needed.
• Experience with ML libraries and packages.
• Run standard test and evaluation protocols.
• Provide system integration oversight.
• Oversee evaluation of AI/ML algorithms through iterative design.
• Research and implement a broad range of AI/ML algorithms and tools.
• Design or select data and knowledge representation methods.
• Recognize software architecture and data modelling concepts.
• Transform data science prototypes into scalable solutions.
• Verify data and model output quality.
• Identify differences in data distribution that affect model performance.

Skills

Applied ML

ML model deployment

Data pipelines

Problem solving

Education

Master's or Ph.D. in AI/Data Science/CS/Math

5 years ML experience with Bachelor's substitute for Master's

Tools

PyTorch

TensorFlow

Job description

Artificial Intelligence/Machine Learning Engineer (Telework eligible) Annapolis Junction, Maryland FFPP Team / Artificial Intelligence (Full-Time) / On-site At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.

Capabilities

• Select appropriate data sets
• Perform statistical analysis
• Run machine learning algorithms
• Use results to improve models
• Train and retrain systems when needed
• Experience in working with various ML libraries and packages
• Run standard test and evaluation protocols
• Provide system integration oversight
• Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
• Research and implement a broad range of AI and ML algorithms and tools
• Design or Select appropriate data and knowledge representation methods
• Recognize software architecture, data modelling, and data structures
• Transform and convert data science prototypes into scalable solutions
• Verify data and model output quality
• Identify differences in data distribution that affect model performance Required Qualifications

Required Qualifications

• TS/SCI with agency appropriate poly
• Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
• A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
• 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
• Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
  

Benefits Package