AI Platform Developer
Regular Full-TimeJob Overview
Who We’re Looking For (Position Overview):
Spry Methods is on the search for an AI Platform Developer (Mid-Level) to support the design, development, and deployment of advanced AI/ML solutions. The role involves building scalable AI platforms, collaborating with cross-functional teams, and delivering high-quality machine learning models and data-driven applications. Who We’re Looking For (Position Overview):
Spry Methods is on the search for an AI Platform Developer (Mid-Level) to support the design, development, and deployment of advanced AI/ML solutions. The role involves building scalable AI platforms, collaborating with cross-functional teams, and delivering high-quality machine learning models and data-driven applications. What Your Day-To-Day Looks Like (Position Responsibilities):
• Design, develop, and deploy machine learning and deep learning models
• Build and maintain scalable AI platforms and data pipelines
• Perform data acquisition, preprocessing, and feature engineering
• Collaborate with cross-functional teams including engineering, operations, and business stakeholders
• Optimize and monitor model performance in production environments
• Support MLOps processes including model deployment, versioning, and lifecycle management
• Work with large datasets using big data technologies
• Build and maintain scalable AI platforms and data pipelines
• Perform data acquisition, preprocessing, and feature engineering
• Collaborate with cross-functional teams including engineering, operations, and business stakeholders
• Optimize and monitor model performance in production environments
• Support MLOps processes including model deployment, versioning, and lifecycle management
• Work with large datasets using big data technologies
What You Need to Succeed (Minimum Requirements):
• 5–7 years of experience in AI/ML development or related field
• Strong programming skills in Python (required); experience with R, Java, or C is a plus
• Deep understanding of machine learning concepts (supervised, unsupervised, reinforcement learning)
• Experience with neural networks including CNNs and RNNs
• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn
• Strong data analysis skills including data cleaning, preprocessing, and feature engineering
• Experience with SQL and/or NoSQL databases
• Familiarity with big data tools such as Apache Spark and OpenSearch
• Solid foundation in mathematics and statistics (linear algebra, calculus, probability)
• Must be willing to work onsite 4–5 days per week in Herndon, VA
• Must be open to converting to a full-time employee in November 2026
• Strong programming skills in Python (required); experience with R, Java, or C is a plus
• Deep understanding of machine learning concepts (supervised, unsupervised, reinforcement learning)
• Experience with neural networks including CNNs and RNNs
• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn
• Strong data analysis skills including data cleaning, preprocessing, and feature engineering
• Experience with SQL and/or NoSQL databases
• Familiarity with big data tools such as Apache Spark and OpenSearch
• Solid foundation in mathematics and statistics (linear algebra, calculus, probability)
• Must be willing to work onsite 4–5 days per week in Herndon, VA
• Must be open to converting to a full-time employee in November 2026