Sr. AI Platform Developer (Herndon, VA/Hybrid (4-5 days/week onsite

MUST BE AUTHORIZED TO WORK FOR ANY EMPLOYER IN USA.

ONLY OPEN FOR INDEPENDENT CANDIDATES THAT CAN WORK ON W2/1099/C2C (SELF INCORP)

NO THIRD PARTY CANDIDATES OR C2C CANDIDATES FROM STAFFING AGENCIES/RECRUITERS/EMPLOYERS.

Developer-T4 (Sr. AI Platform Developer)

7-8 months, must be willing to convert to FTE in October 2026

Herndon, VA/Hybrid, must be in office at least 4 days per week with the expectation that there maybe weeks where 5 days are required.

Description:

Sr. AI Platform Developer (Years of Experience: 7-10)

- 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.