TalentAQ

TalentAQ

Python/AI Developer

EngineeringContract5+ yearsRemote

Required Skills
10 skills

Python
Data Science
Artificial Intelligence
Machine Learning
Vector Database
LLMs
LLM Data Injestion
Statistics
AI/ML
ML Ops

Job Description

Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction. Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders. Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes. Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered. Work with data sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments. Implement batch and real-time model scoring. Assemble large, complex data sets that meet functional / non-functional business requirements. Apply business knowledge to analyze data, develop reports and solve problems Perform ad hoc analyses of data depending on business needs. Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.
Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction. Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders. Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes. Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered. Work with data sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments. Implement batch and real-time model scoring. Assemble large, complex data sets that meet functional / non-functional business requirements. Apply business knowledge to analyze data, develop reports and solve problems Perform ad hoc analyses of data depending on business needs. Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.

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