Artificial Intelligence Engineer

STRYKE is seeking a dynamic and innovative Artificial Intelligence (AI) Engineer to join our forward-thinking technology team. In this role, you will harness the power of cutting-edge AI and machine learning techniques to develop intelligent solutions that drive business insights, automate processes, and enhance user experiences. Your expertise will contribute to building scalable, robust AI models and deploying them effectively across diverse platforms. If you thrive in a fast-paced environment where your creativity and technical skills can make a real impact, this opportunity is for you!

Responsibilities:

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

Desired Skills:

• Proficiency in machine learning frameworks.
• Strong programming skills.
• Experience in model training and deployment.
• Deep understanding of natural language processing (NLP), data mining techniques, and linked data concepts.
• Hands-on experience with big data technologies including Hadoop ecosystem components like HDFS and MapReduce.
• Expertise in database design principles along with SQL proficiency for managing large-scale datasets.
• Familiarity with cloud computing platforms such as AWS for deploying scalable AI solutions.
• Experience working with analytics platforms to visualize insights effectively.

Requirements:

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

Preferred Requirements:

• Active Secret or Top Secret Security Clearance.

Benefits:

• Covered Health Insurance (Individual or Family)
• Covered Dental Insurance (Individual or Family)
• Covered Vision Insurance (Individual or Family)
• Profit Sharing Plan (+25% of Base Salary Employer Contribution)
• Paid Professional Development (annually)
• Five (5) Weeks Paid Time Off
• Flexible Work Schedule
• Snacks and Team Social Events