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Data Scientist with Generative AI Expertise at Remote, Remote, USA
Email: [email protected]
From:

javed,

teamware

[email protected]

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Hi

Hope you are Doing Well!!

Position: Data Scientist

Location: Texas

Data Scientist with Generative AI Expertise

Role & Responsibilities:

Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.

Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.

Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.

Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs.

Evaluate and compare different AI model architectures and hyper parameters to optimize performance, address potential biases, and ensure responsible development.

Develop monitoring and evaluation frameworks to track AI model performance and ensure alignment with business goals.

Communicate complex AI concepts and findings to technical and non-technical audiences through data visualization, storytelling, and presentations

Skills

Technical:

Programming languages: Python (proficient) with major ML libraries

Experience with open source Gen AI LLMs e.g., Llama and Dolly

Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers

Generative AI techniques: Experience with GANs, text-to-image generation, text generation models

Data wrangling & manipulation: SQL, data cleaning, feature engineering

Hyperscalers                   : AWS, Azure, or GCP experience a plus

Thanks & Regards,

Mohd Javed Senior Executive Talent Acquisition

TEAMWARE SOLUTIONS INC.

2838 E.LONG LAKE ROAD SUITE 210,TROY,MI 48085 

Email:

 [email protected]   Direct Line

Keywords: artificial intelligence machine learning Michigan
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Fri Mar 08 03:19:00 UTC 2024

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