AI ML or NLP Engineer | Onsite at Remote, Remote, USA |
Email: [email protected] |
From: Vinod Katkam, Agile enterprise Solutions [email protected] Reply to: [email protected] AI/ML/NLP Engineer San Jose, CA-Onsite Rate-$65/hr on C2C Experience- 10+ Years Job Description Customer MDM has numerous challenging problems to solve using cutting-edge technologies that have a direct impact on Cisco's business. Responsibilities Develop algorithms to drive our diverse range of Customer MDM requirements, including search, match, ranking, alignment, labeling and enrichment. Combine deep language models, state-of-the-art Generative AI models, and classical ML/NLP techniques to create high-quality solutions. Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs. Requirement Degree in Computer Science with a focus on AI/NLP/Computer Vision/ML Strong background and at least 5 years of industry experience are required in Machine Learning and Deep Learning algorithms. Preferably, experience in NLP, Generative AI, LLMs, MLOps, and Optimization techniques is desired. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models Solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as BERT, GPT, or Transformer model. Proficiency in Python programming , data frame, TensorFlow or PyTorch. Strong analytical and problem-solving skills. Expertise in Generative AI (mainly LLMs), data engineering, including data curation, cleaning, and preprocessing. Independence and ownership, ability to come up with innovative solutions and evaluate them quickly. Full cycle development: research to production. Familiarity with the OpenAI API and its capabilities for natural language processing (NLP) and generative modeling is highly desirable. Keywords: artificial intelligence machine learning California AI ML or NLP Engineer | Onsite [email protected] |
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Thu May 09 22:24:00 UTC 2024 |