Role overview
Job Overview
We are seeking a dynamic and innovative Generative AI Engineer to join our cutting-edge technology team. In this role, you will lead the development and deployment of advanced generative artificial intelligence models that transform data into meaningful insights and creative solutions. Your expertise will drive the creation of intelligent systems capable of natural language understanding, data synthesis, and machine learning model training. This position offers an exciting opportunity to shape the future of AI-driven applications across diverse industries, leveraging state-of-the-art frameworks and cloud platforms to deliver impactful results. If you thrive in a fast-paced environment and are passionate about pushing the boundaries of AI technology, we want to hear from you!
What you'll work on
- Design, develop, and optimize generative AI models utilizing frameworks such as TensorFlow and other machine learning tools.
- Implement unsupervised learning techniques to enable models to discover patterns and relationships within large datasets.
- Lead model training processes on cloud platforms like AWS, ensuring scalability, efficiency, and accuracy.
- Collaborate with data engineers to develop ETL pipelines for data extraction, transformation, and loading from various sources including Hadoop, Spark, and SQL databases.
- Conduct data mining and analysis using Python, R, SAS, and other analytics tools to enhance model performance.
- Deploy AI models into production environments using best practices for model deployment and monitoring.
- Work with cross-functional teams on natural language processing (NLP) projects to improve language understanding capabilities.
- Design scalable database architectures and utilize linked data principles for semantic data integration.
- Stay abreast of emerging trends in quantum engineering, big data analytics, and machine learning frameworks to continuously innovate solutions.
Skills
- Proficiency in cloud computing platforms such as AWS for deploying scalable AI solutions.
- Strong experience with TensorFlow and other machine learning frameworks like Spark MLlib or PyTorch.
- Expertise in unsupervised learning methods including clustering, dimensionality reduction, and generative modeling.
- Programming skills in Python, Java, C, Bash (Unix shell), VBA, with a solid understanding of software development best practices.
- Knowledge of ETL processes using Talend or similar tools for data integration workflows.
- Experience designing database schemas and working with SQL for data querying and management.
- Familiarity with big data technologies such as Hadoop and Spark for large-scale data processing.
- Understanding of natural language processing (NLP) techniques for language modeling and text analysis.
- Ability to implement model training pipelines with a focus on accuracy, efficiency, and robustness.
- Knowledge of analytics tools like Looker for visualization and insights generation from complex datasets.
- Experience working with linked data principles to connect diverse datasets semantically.
- Background in quantum engineering or related fields is a plus for innovative research initiatives. Join us as a Generative AI Engineer where your expertise will shape intelligent systems that inspire innovation!
Pay: $60,000.00 - $80,000.00 per year
Work Location: In person