Lead AI/ML Engineer

As a Lead AI / ML Engineer specializing in Computer Vision & NLP at Netscribes, your role will involve technical leadership, hands-on development, and team management to deliver cutting-edge AI solutions. Here is a breakdown of your key responsibilities: - Own the end-to-end design and delivery of Computer Vision (CV) and Natural Language Processing (NLP) solutions, starting from problem framing and feasibility analysis to model development, deployment, and monitoring. - Develop and optimize models for tasks such as image and video classification, object detection, segmentation, OCR, document understanding, visual search in CV, and text classification, named-entity recognition, summarization, semantic search, and conversational AI in NLP using modern deep-learning architectures. - Design and deliver applications based on large language models (LLMs) including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and evaluation of Generative AI outputs. - Establish robust MLOps practices including reproducible training pipelines, model versioning, CI/CD for models, automated testing, monitoring, and drift detection. - Deploy models as scalable, low-latency services on cloud platforms (AWS, Azure, GCP) using containerized solutions and optimize for edge or GPU-based inference where required. - Collaborate with data engineering on data pipelines and labeling strategies, and define rigorous evaluation, benchmarking, and responsible-AI checks for all models. - Engage directly with clients and solution architects to define use cases, manage expectations, showcase results, and demonstrate the business value of AI outcomes. - Lead, coach, and nurture a team of ML engineers and data scientists, conduct code and design reviews, and ensure adherence to engineering standards and best practices. - Keep abreast of the latest advancements in CV, NLP, and Generative AI, conduct focused experiments, and incorporate proven techniques into Netscribes' delivery and innovation efforts. Additionally, if any additional details about the company are present in the job description, kindly provide them for inclusion in the final job description. As a Lead AI / ML Engineer specializing in Computer Vision & NLP at Netscribes, your role will involve technical leadership, hands-on development, and team management to deliver cutting-edge AI solutions. Here is a breakdown of your key responsibilities: - Own the end-to-end design and delivery of Computer Vision (CV) and Natural Language Processing (NLP) solutions, starting from problem framing and feasibility analysis to model development, deployment, and monitoring. - Develop and optimize models for tasks such as image and video classification, object detection, segmentation, OCR, document understanding, visual search in CV, and text classification, named-entity recognition, summarization, semantic search, and conversational AI in NLP using modern deep-learning architectures. - Design and deliver applications based on large language models (LLMs) including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and evaluation of Generative AI outputs. - Establish robust MLOps practices including reproducible training pipelines, model versioning, CI/CD for models, automated testing, monitoring, and drift detection. - Deploy models as scalable, low-latency services on cloud platforms (AWS, Azure, GCP) using containerized solutions and optimize for edge or GPU-based inference where required. - Collaborate with data engineering on data pipelines and labeling strategies, and define rigorous evaluation, benchmarking, and responsible-AI checks for all models. - Engage directly with clients and solution architects to define use cases, manage expectations, showcase results, and demonstrate the business value of AI outcomes. - Lead, coach, and nurture a team of ML engineers and data scientists, conduct code and design reviews, and ensure adherence to engineering standards and best practices. - Keep abreast of the latest advancements in CV, NLP, and Generative AI, conduct focused experiments, and incorporate proven techniques into Netscribes' delivery and innovation efforts. Additionally, if any additional details about the company are present in the job description, kindly provide them for inclusion in the final job description.