Artificial Intelligence Engineer

Role overview

Responsibilities

• check_circle Design, develop, and optimize machine learning models using frameworks such as Cursor, Claude, Llama, TensorFlow and other AI tools to solve complex mission problems.
• check_circle Implement unsupervised learning algorithms to uncover hidden patterns and insights within large datasets.
• check_circle Collaborate with data engineers to build efficient ETL pipelines for data extraction, transformation, and loading from various sources including Hadoop, Spark, and Talend.
• check_circle Develop and maintain scalable database architectures with expertise in database design, SQL, and big data technologies like Hadoop and Spark.
• check_circle Deploy machine learning models into production environments ensuring high performance and reliability through model training, testing, and deployment strategies.
• check_circle Utilize natural language processing (NLP) techniques to enhance language understanding applications and improve user interactions.
• check_circle Conduct data mining activities to extract valuable information from structured and unstructured data sources such as linked data and SAS datasets.
• check_circle Leverage cloud platforms like AWS for scalable computing resources, storage solutions, and AI service integrations.
• check_circle Stay abreast of emerging trends in quantum engineering and AI research to incorporate innovative approaches into projects.

Basic qualifications

• Eligible to obtain Top Secret / SCI security clearance.
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent professional experience.

Preferred qualifications

• Active Top Secret Security Clearance.

Benefits

• check_circle 401(k)
• check_circle Dental insurance
• check_circle Flexible schedule
• check_circle Health insurance
• check_circle Life insurance
• check_circle Paid time off
• check_circle Vision insurance