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AiroDigital LLC
Data Scientist
Career Insights for Generative Artificial Intelligence Engineer
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What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$119,885 / year median in Tennessee
Job Description
Data Scientist AiroDigital LLC Memphis, TN Job Details Full-time $104,568.60 - $125,932.09 a year 21 hours ago Qualifications AI models TensorFlow Machine intelligence Model training Machine learning libraries Machine learning frameworks Full Job Description Job Summary We are seeking a dynamic and innovative Data Scientist to join our forward-thinking analytics team. In this role, you will harness the power of data to drive strategic decision-making, develop predictive models, and implement AI solutions that transform complex data into actionable insights. Your expertise will contribute to advancing our capabilities in big data systems, machine learning frameworks, and statistical analysis tools, enabling us to stay at the forefront of technological innovation. This position offers an exciting opportunity to work with cutting-edge cloud services, natural language processing, and scalable AI models in a collaborative environment dedicated to excellence. Responsibilities Design, develop, and deploy machine learning and AI models using frameworks such as TensorFlow, Spark MLlib, and other machine learning cloud services. Conduct statistical modeling and analysis for research purposes, ensuring accuracy and relevance of insights derived from large datasets. Build robust ETL pipelines to extract, transform, and load data from diverse sources including SQL databases, Hadoop clusters, and linked data repositories. Collaborate with cross-functional teams to implement scalable big data systems utilizing Hadoop, Spark implementation, and Talend for data integration. Perform model training, evaluation, and deployment to support predictive analytics initiatives across various business units. Utilize statistical analysis tools like SAS and R for advanced analytics projects including natural language processing and generative AI applications. Develop database designs optimized for high-volume data mining activities while ensuring scalability and performance efficiency. Qualifications Proven experience with machine learning frameworks such as TensorFlow or similar platforms. Strong proficiency in programming languages including Python, Java, C, VBA, Bash (Unix shell), and SQL for data manipulation and model development. Hands-on experience with big data systems like Hadoop and Spark implementation for large-scale data processing. Familiarity with cloud-based AI implementation services on AWS or comparable platforms. Expertise in statistical analysis tools such as SAS or R for research-driven insights. Knowledge of database design principles along with experience working with SQL databases. Ability to develop scalable AI models with a focus on predictive modeling analysis and model evaluation techniques. Experience working with natural language processing (NLP), generative AI models, and data mining methodologies. Strong understanding of data analytics workflows including model training, deployment, monitoring, and scalability considerations. Join us to leverage your expertise in AI and machine learning to solve complex problems through innovative data-driven solutions!