Generative AI Engineer

Overview

We are seeking a dynamic and innovative Generative AI Engineer to join our forward-thinking team. In this role, you will spearhead the development and deployment of cutting-edge generative AI models that transform data into meaningful insights and creative solutions. Your expertise will drive the design, training, and evaluation of advanced AI models, enabling our organization to stay at the forefront of artificial intelligence innovation. This position offers an exciting opportunity to work with a diverse array of machine learning frameworks, big data technologies, and cloud services to build scalable and impactful AI solutions.

Responsibilities

• Develop, train, and optimize generative AI models utilizing frameworks such as TensorFlow and other machine learning tools.
• Implement natural language processing (NLP) techniques for language understanding, generation, and conversational AI applications.
• Design scalable data pipelines using ETL processes, Hadoop, Spark, Talend, and SQL databases to support large-scale model training and analysis.
• Apply statistical modeling and statistical analysis for research purposes to enhance model accuracy and robustness.
• Deploy AI models into production environments leveraging machine learning cloud services with a focus on scalability and efficiency.
• Conduct comprehensive model evaluation and validation to ensure high performance, reliability, and ethical standards in AI outputs.
• Collaborate across teams to integrate AI solutions with existing systems using Java, Python, Bash (Unix shell), VBA, and other programming languages.

Requirements

• Proven experience in developing and deploying generative AI models with a strong foundation in machine learning frameworks such as TensorFlow or similar platforms.
• Proficiency in programming languages including Python, Java, C, R, SQL, and Bash for data processing, model development, and automation tasks.
• Deep understanding of natural language processing (NLP), unsupervised learning techniques, statistical analysis for research, and model evaluation methodologies.
• Hands-on experience with big data tools such as Hadoop, Spark implementation, Data mining techniques, and SQL databases.
• Familiarity with cloud-based machine learning services on AWS or similar platforms for model training and deployment.
• Knowledge of database design principles and experience working with linked data or semantic web technologies is a plus.
• Strong analytical skills with the ability to perform statistical modeling and research-driven analysis to inform AI development.
• Excellent problem-solving abilities combined with effective communication skills to collaborate across multidisciplinary teams.

Join us in shaping the future of artificial intelligence by creating innovative generative models that inspire change!

Pay: $60,000.00 - $80,000.00 per year

Work Location: In person