Engineer AI/ML

Model Development & Deployment

• Build and deploy machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Optimize models for performance, scalability, and security.

Data Pipeline Management

• Collaborate with data engineers to design robust data pipelines for model training and inference.
• Validate and preprocess datasets to ensure model accuracy and reliability.

Research & Innovation

• Stay current on the latest AI/ML trends and incorporate best practices into the platform.
• Experiment with novel techniques in generative AI and provide recommendations for platform enhancements.

QUALIFICATIONS

• Bachelor’s degree in Computer Science, Data Science, or related field; Master’s preferred.
• 3+ years of AI/ML development experience.
• Strong Python programming skills and familiarity with major AI/ML frameworks.
• Experience deploying models into production environments (cloud or on-prem).
• AI/ML certifications from AWS, Azure, or Google Cloud are beneficial.
• Strong analytical thinking and problem-solving.
• Detail-oriented with an emphasis on model reliability and validation.
• Excellent communication skills for cross-functional collaboration.
• Occasional need to support after-hours release cycles or troubleshooting.
• Authority to recommend new AI/ML tools and frameworks for adoption.
• Collaborates with product managers, data engineers, and QA teams.
  • May interface with external vendors for AI tools.