| Data Scientist with LLM and Deep learning || Santa Clara, CA (Onsite || local only || at Santa Clara, California, USA |
| Email: [email protected] |
| Hi I hope You are doing great, Please have a look and let me know your interest, Role - Data Scientist with LLM and Deep learning Location: Santa Clara, CA (Onsite) Look for local only Need 15-20 Years of Profile. Skill: RAG-5+years GENAI5 years NLP-5 years Indexing 4 years Chunking-4 years Job Description Excellent knowledge in LLM specifically expertise in open AI skills including GPT 3.5, GPT 4 Experience of developing solutions using AI & ML technology. Proficient with deep learning algorithms especially towards developing computer vision applications Excellent knowledge of FCN, CNN, DNN and sequential neural network architectures. Strong experience in using both 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 as (speech, NLP, GANs) Knowledge on 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 networks and the associated preprocessing and postprocessing code to run efficiently on embedded platforms, including different GPU architectures Profound and proven knowledge in tools and programming languages like TensorFlow, KERAS, Tytorch, Matlab, Python; knowledge in embedded C/C++ is an advantage. Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-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 the performance for deploying on edge devices. BARD, Cohere, PaLM, and Claude v1 etc will be an added Advantage Thanks & Regards www.ehub.global Rajeev Kumar Team Lead Ehub Global 214-751-8312 [email protected] https://www.linkedin.com/in/rajeev-kumar-2334a687/ 17304 Preston Road Suite 800, Dallas, TX, 75252 Stay green - don't print this e-mail! USA | COSTA RICA | CANADA | INDIA Ehub Global provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability. -- Keywords: cprogramm cplusplus artificial intelligence machine learning information technology California Texas Data Scientist with LLM and Deep learning || Santa Clara, CA (Onsite || local only || [email protected] |
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| Thu Jun 20 19:52:00 UTC 2024 |