Contract Data Scientist - Open AI/Gen AI

This role is on-site M-F in Santa Clara, CA. We are looking for candidates local to Santa Clara, CA or willing to easily re-locate. This is a contract position expected to last 6-12+ months with the possibility to be extended.

We are working directly with the Technical Lead who is owning this project who represents a leading Data Science and Analytics solutions company.

Requirements:

• 5+ years of experience in working on industrial use cases in data science using Machine Learning for measurement, forecasting, simulation, and optimization
• Experience using AI/ML tools available from cloud service providers like Azure & frameworks like PyTorch
• Excellent knowledge of LLM, specifically expertise in open AI skills, including GPT 3.5 and GPT 4. Experience developing solutions using AI and ML technology.
• Experience working with Gen AI
• Proficient with deep learning algorithms, especially for developing computer vision applications
• Excellent knowledge of FCN, CNN, DNN, and sequential neural network architectures.
• Strong experience using basic and advanced image processing algorithms for feature engineering.
• Ability to read and implement related academic literature and experience in applying state-of-the-art deep learning models to computer vision (e.g., segmentation, detection) or other areas such as (speech, NLP, GANs)
• Knowledge of sensors and vision systems, sensor integration, and fusion
• Proven expertise in developing and training state-of-the-art algorithms to perform visual recognition tasks, such as segmentation, detection, and classification at scale
• Proven expertise in Integrating deep neural network code to run efficiently on embedded platforms, including different GPU architectures.
• Profound and proven knowledge of tools and programming languages like TensorFlow, KERAS, Tytorch, Matlab, and Python; knowledge of embedded C/C++ is an advantage.
• Strong experience with data science tools, including Python scripting, CUDA, numpy, sciPy, matplotlib, sci-kit-learn, bash scripting, and Linux environment.
• Proficiency with edge computing principles and architecture on commonly used popular platforms.
• Experience in different model optimization techniques, apart from hyperparameter tuning, to reduce memory usage without hindering performance for deploying on edge devices. BARD, Cohere, PaLM, Claude v1, etc., will be an added Advantage.

If this is of interest please can you share your current location and if not in Santa Clara your timescales to relocate.

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