Johnson Technology Systems, Inc. (JTSi) · 10 hours ago
Developer T3
Johnson Technology Systems, Inc. (JTSi) is a federal government consulting firm providing technical services to the Federal Government. They are seeking an AI Platform Developer who will be responsible for developing and deploying AI/ML models, requiring mastery of programming languages and a deep understanding of machine learning concepts.
Enterprise SoftwareCloud ComputingConsultingSoftwareProfessional ServicesInformation TechnologyBusiness DevelopmentEnterprise Resource Planning (ERP)IT ManagementManagement Consulting
Responsibilities
Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable
Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs
AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn
Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are crucial, along with knowledge of SQL and NoSQL databases
Big Data Technologies: Familiarity with platforms like Apache Spark and OpenSearch is often necessary for handling large-scale data
Mathematics and Statistics: A strong foundation in linear algebra, calculus, probability, and statistics is fundamental
Natural Language Processing (NLP): For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key
Cloud Computing and MLOps: Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps principles is vital for deploying and managing AI models
Qualification
Required
Citizenship: U.S. citizens
Hybrid Office: Must be in office at least 4 days per week (Herndon, VA) with the expectation that there may be weeks where 5 days are required
Conversion Status: Must be willing to convert to FTE in November 2026
Mastery of Python is essential, with R, Java, and C++ also being highly valuable
Deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs
Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn
Skills in data acquisition, cleaning, preprocessing, and feature engineering are crucial, along with knowledge of SQL and NoSQL databases
Familiarity with platforms like Apache Spark and OpenSearch is often necessary for handling large-scale data
A strong foundation in linear algebra, calculus, probability, and statistics is fundamental
Expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key
Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps principles is vital for deploying and managing AI models
Preferred
Natural Language Processing experience (NLTK, spaCy, Hugging Face Transformers)
Big data technologies familiarity (Apache Spark, OpenSearch)
Additional programming languages (R, Java, C++)
Strong mathematics and statistics foundation (linear algebra, calculus, probability, statistics)
Company
Johnson Technology Systems, Inc. (JTSi)
Established in 2003, JTSi is an IT & Engineering Services provider with years of documented experience in the Information Technology and Engineering services field.
Funding
Current Stage
Growth StageCompany data provided by crunchbase