Lead AI/ML Engineer - NLP/Computer Vision

As a Lead AI / ML Engineer specializing in Computer Vision & NLP, your role involves owning the design and delivery of CV and NLP solutions from problem framing to model development, deployment, and monitoring. You will be responsible for building and optimizing models for image and video classification, object detection, segmentation, OCR, document understanding, and visual search using modern deep-learning architectures. Additionally, you will develop solutions for text classification, named-entity recognition, summarization, semantic search, and conversational AI using transformer models. Your key responsibilities include: - Owning the design and delivery of CV and NLP solutions end to end - Building and optimizing models for image and video classification, object detection, segmentation, OCR, and document understanding - Developing solutions for text classification, named-entity recognition, summarization, semantic search, and conversational AI - Designing and delivering applications built on large language models - Establishing robust MLOps practices - Deploying models as scalable, low-latency services on cloud platforms - Partnering with data engineering on data pipelines and labeling strategy - Working directly with clients and solution architects to scope use cases and present results - Leading, coaching, and growing a pod of ML engineers and data scientists - Tracking advances in CV, NLP, and GenAI and bringing proven techniques into the company's delivery and innovation work No additional information about the company was provided in the job description. As a Lead AI / ML Engineer specializing in Computer Vision & NLP, your role involves owning the design and delivery of CV and NLP solutions from problem framing to model development, deployment, and monitoring. You will be responsible for building and optimizing models for image and video classification, object detection, segmentation, OCR, document understanding, and visual search using modern deep-learning architectures. Additionally, you will develop solutions for text classification, named-entity recognition, summarization, semantic search, and conversational AI using transformer models. Your key responsibilities include: - Owning the design and delivery of CV and NLP solutions end to end - Building and optimizing models for image and video classification, object detection, segmentation, OCR, and document understanding - Developing solutions for text classification, named-entity recognition, summarization, semantic search, and conversational AI - Designing and delivering applications built on large language models - Establishing robust MLOps practices - Deploying models as scalable, low-latency services on cloud platforms - Partnering with data engineering on data pipelines and labeling strategy - Working directly with clients and solution architects to scope use cases and present results - Leading, coaching, and growing a pod of ML engineers and data scientists - Tracking advances in CV, NLP, and GenAI and bringing proven techniques into the company's delivery and innovation work No additional information about the company was provided in the job description.