Description

Key Skills: Machine Learning, Data Science, Computer Vision, Natural Language Processing, Python, Statistical Analysis, Deep Learning, MLOps, Generative AI, Distributed Systems

Good to Have Skills: ASR (Automatic Speech Recognition), Translation technologies, Text-to-Speech, Closed Captioning, Language localization, Dubbing, Media processing, Model evaluation frameworks, Drift detection, Performance optimization, Cross-functional collaboration, Team leadership, Mentoring experience, Patent or publication experience in peer-reviewed conferences.

Roles & Responsibilities:

• Lead end-to-end design and delivery of production-grade Gen AI based Media processing systems that supports language localization capabilities like Closed Captioning, Language translation, or Dubbing.
• Lead data science experimentation by designing experiments, defining success metrics, iterating on model improvements, and transitioning validated approaches into scalable production ML pipelines.
• Establish and operate robust production evaluation frameworks, covering model quality, drift detection, inference performance, and system-level metrics with and without ground truth.
• Lead, mentor, and grow a team of Applied data scientist, Machine Learning Engineers, setting clear technical direction, delivery standards, and career development paths.
• Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for customers.

Experience Required: 7+ years total experience of building production grade machine learning solutions. Experience in designing machine learning driven, large-scale distributed systems with large scale customer base. 3+ hands-on experience in any one of following fields: Computer Vision, ASR, Translation or Text-to-Speech technologies preferred.

Education: PhD or Master's degree in Computer Science, Computer Engineering, Machine Learning or related fields preferred

Key Skills

Education

Any Graduate