Job Details

"WE DO WHAT WE SAY "

JTSi is a federal government consulting firm, providing technical services to the Federal Government, i.e., DoD, Client and various Civilian Agencies. We are proud to have earned the reputation of honesty, integrity and the ability to build long-term professional relationships with our employees and clients. Please visit our website at www.JTSUSA.com to learn more about who we are and what we do.

Company Name: - JTSi (Johnson Technology Systems, Inc.)
Title:
Location: 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.
Salary: $126K- $131K/ Year on W2

DESCRIPTION OF PROJECT AND TASKS:

Description
• Citizenship: U.S. citizens
• Hybrid Office: Must be in office at least 4 days per week (Herndon, VA) with the expectation that there maybe weeks where 5 days are required.
• Conversion Status: Must be willing to convert to FTE in November 2026

AI Platform Developer (Mid-Level): (Years of Experience 5-7)

- 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.

Preferred Skills
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)

Mandatory Skills
Advanced Python programming (primary language for AI/ML development)
Machine Learning & Deep Learning expertise (supervised/unsupervised/RL, CNNs, RNNs)
Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn)
Strong data engineering & analysis skills (data preprocessing, feature engineering, SQL/NoSQL)
Cloud computing and MLOps knowledge (AWS, GCP, or Azure; model deployment & lifecycle management)