What are the responsibilities and job description for the Sr. AI Platform Developer (Herndon, VA/Hybrid (4-5 days/week onsite)) - (INDEPENDENT CANDIDATES ONLY) position at DataEdge Consulting?
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.