Candidates should be local to job location.
Candidates must be willing to convert to FTE with Client in October 2026
• Citizenship: U.S. citizens
• Hybrid Office: Must be in office at least 4 days per week (Austin, TX) with the expectation that there maybe weeks where 5 days are required.
• Conversion Status: Must be willing to convert to FTE in October 2026
AI Platform Developers (Mid-Level): (Years of Experience 5-7)
Sr. AI Platform Developers (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, Google Cloud Platform, Azure) and MLOps principles is vital for deploying and managing AI models.
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