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Location: Phoenix, Arizona, United States
Contract
This position entails leveraging Large Language Models (LLMs) and Generative AI to create AI applications. The incumbent will play a key role in assisting the organization in utilizing data effectively, collaborating with a team of data scientists and engineers to offer strategic guidance and insights for informed decision-making by management. A minimum of 5 years” experience in Data Science, focusing on enterprise projects with open-source technologies, is required. The ideal candidate will possess strong problem-solving skills, critical thinking abilities, and a track record of thought leadership.
Responsibilities
Work closely with the technical team to conceptualize, create, and deploy generative AI solutions across various industries.
Undertake tasks including. data preprocessing, model refinement, and performance assessment to uphold the excellence of our AI solutions.
Participate in the exploration and innovation of Client AI methodologies and strategies to enhance our capabilities and maintain a competitive edge.
Contribute to the documentation and communication of project progress, outcomes, and insights to stakeholders and team members.
Stay abreast of developments in the AI and machine learning domain to enrich and enhance our solutions.
Qualifications
Understanding of Hypothesis testing, Statistical Methods, Sampling Theory, and Experimental Design.
Familiarity with common advanced analysis tools, with a preference for proficiency in SQL, Python, and R.
Demonstrated knowledge of object-oriented programming concepts in Python or Java, evidenced through work experience or contributions on platforms like GitHub.
Strong programming abilities in Python, including experience with AI/Client libraries like TensorFlow and PyTorch.
Familiarity with major cloud platforms such as AWS, GCP, or Azure.
Comfortability with Flask/FastAPI and Postman for model testing and deployment.
Ability to formulate and address critical analytical inquiries with a focus on driving product impact.
Exceptional problem-solving, analytical, and communication proficiencies.
Capability to operate both independently and collaboratively within a dynamic environment.
Enthusiastic embracement of responsibility and empowerment in individual work.
Thorough understanding of modern data science and product/web analytics tools and methodologies, including Python and its associated data science ecosystem, as well as Machine Learning.
Experience spanning various algorithms and techniques for data preparation and analysis
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