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Data Architect - Artificial Intelligence
iHeartMedia
Austin, TX, United States
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Job Summary:
Develop machine learning models to solve classification problems from speech to text data, create algorithms to improve image recognition accuracy using contextual information, and design solutions using Machine Learning and other AI technologies for client facing products using audio, video, and text.
Position will report to CTO of RCS/Media Monitors division of iHeartMedia and will be based in Austin, TX. Will require travel to White Plains, NY, as needed.
Responsibilities
• Serves as the expert in building and training AI systems as well as building on existing AI systems
• Build and optimize AI models for commercial products
• Deliver high quality software components with minimal defects; identifies and resolves errors and related software problems
• Communicates with management on architecture, potential risks, and meet deadlines
• Creates and documents component specifications and detailed designs by working with subject matter experts, on requirements and specifications, and translates into the software design
• Identifies and resolves potential risks and issues; works in teams to implement mitigation plans and processes
• Builds and delivers phase exit review items; works with team members to follow CCIT processes and practices for project delivery
• Works with and adapts iHeartMedia’s Continuous Integration environment to ensure a smooth and high quality release cycle in a fast-paced Agile environment
Qualifications
• Expertise in areas such as Machine Learning, NLP, Deep Learning, Reinforcement Learning, Probabilistic Inference
• Experience with Big Data and related technologies, e.g., Hadoop, Pig, Spark
• Knowledge of SQL and NoSQL is required
• Expert level experience in at least one of the ML learning software - Python/Scala/Tensor flow - is required
• Experience in implementing real world applications in AI
• Good communication skills, ability to work with cross-functional teams
• 3-5 years of relevant experience