GenAI Engineer

Overview

We are seeking a dynamic and innovative GenAI Engineer to join our cutting-edge team, driving the development and deployment of advanced generative artificial intelligence models. In this role, you will harness the power of machine learning frameworks, big data systems, and cloud services to create scalable AI solutions that transform data into actionable insights. Your expertise will help shape the future of AI-driven applications across diverse industries, making a tangible impact through innovative research and practical implementation.

Duties

• Design, develop, and optimize generative AI models utilizing frameworks such as TensorFlow, PyTorch, and other machine learning tools.
• Strong exp in Python, FastAPI, RAG, LLM's
• Implement scalable data pipelines using ETL processes, Hadoop, Spark, and SQL databases to support model training and deployment.
• Conduct statistical analysis and modeling to evaluate AI models’ performance, accuracy, and robustness for predictive analytics and natural language processing tasks.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems using Java, Python, C, or VBA for seamless deployment.
• Leverage cloud-based machine learning services on AWS or similar platforms to enhance model scalability and efficiency.
• Perform data mining and data analytics on large datasets to extract insights that inform model improvements and business strategies.
• Develop comprehensive documentation for model training procedures, statistical analysis tools, and deployment processes to ensure transparency and reproducibility.

Experience

• Proven experience in developing AI models with a focus on generative AI and natural language processing applications.
• Strong background in machine learning frameworks such as TensorFlow, Spark MLlib, or similar tools.
• Hands-on experience with big data systems including Hadoop, Spark implementation, and SQL databases for large-scale data processing.
• Familiarity with statistical analysis tools like R or SAS for research-oriented statistical modeling.
• Proficiency in programming languages including Python, Java, C, Bash (Unix shell), and VBA for automation and system integration tasks.
• Experience deploying machine learning models using cloud services like AWS Machine Learning or similar platforms.
• Knowledge of database design principles and experience working with SQL databases for efficient data management.
• Understanding of quantum engineering concepts is a plus but not mandatory; a strong foundation in scalable AI implementation is essential.

Join us to be at the forefront of artificial intelligence innovation! Bring your expertise in machine learning/AI-based analysis, generative AI techniques, and big data systems to develop transformative solutions that push the boundaries of technology. Your contributions will empower organizations to leverage AI for smarter decision-making and future-ready applications!

Pay: $91,082.04 - $109,690.20 per year

Work Location: Hybrid remote in Phoenix, AZ 85074