Artificial Intelligence/Machine Learning (AI/ML) Engineer

RPMGlobal

Annapolis, Northern (MD, KY)

Hybrid

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Base-2 Solutions is seeking an AI/ML Engineer to design, train, and productionize AI/ML models that solve business challenges. You will work on model architecture, data pipelines, and evaluation, with responsibilities spanning training, retraining, deployment, and monitoring.

Required qualifications include 5+ years of applied ML experience and a Master’s or PhD in a related field; strong programming skills (Python/Java/R) and expertise in PyTorch and TensorFlow are expected.

Qualifications

  • Master’s or Ph.D. in a relevant field with 5 years of applied ML experience.
  • Bachelor’s degree plus 10 years of applied ML experience can substitute for Master’s.
  • Experience with ML libraries and model deployment is required.

Responsibilities

  • Design, train, and productionize AI/ML models.
  • Select data sets and perform statistical analysis.
  • Train and retrain systems; monitor performance and iterate.
  • Lead ML projects and collaborate with cross-functional teams.
  • Ensure model governance, data quality, and security considerations.

Skills

Python
Java
R
Pytorch
TensorFlow

Education

Master's degree in AI/DS/CS/Deep Learning
PhD in a related field (preferred)

Tools

Linux

Job description

Position Summary

Base-2 Solutions is seeking an AI/ML Engineer who 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.

Essential Duties and Responsibilities
  • Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
  • 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
  • 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.
  • Five (5) additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
Preferred Qualifications
  • Expert knowledge with multiple programming languages, including: Python Java R.
Required Education and Experience Equivalency
  • Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university with Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity.
  • Relevant Bachelor's degree with Ten (10) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity.
Required Certifications
  • None specified.
Required Security Clearance
  • Active Top Secret/SCI with Full Scope Polygraph
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