IntelliPro Group Inc. is one of the fastest growing IT services and HR solutions companies in Americas & APAC. We provide comprehensive IT services to help clients with IT Strategic Planning, Implementation, Deployment, IT Support on Artificial Intelligence, Big Data, Cloud Computing, Mobile Application Development, Data Mining and Business Intelligence, Enterprise Data Warehouse, and more.
Executive Search β’ Recruiting β’ Consulting β’ Outsourcing β’ Staff Augmentation
201 - 500 employees
February 16
πΊπΈ United States β Remote
π΅ $130k - $180k / year
β° Full Time
π Senior
π€ Machine Learning Engineer
π¦ H1B Visa Sponsor
IntelliPro Group Inc. is one of the fastest growing IT services and HR solutions companies in Americas & APAC. We provide comprehensive IT services to help clients with IT Strategic Planning, Implementation, Deployment, IT Support on Artificial Intelligence, Big Data, Cloud Computing, Mobile Application Development, Data Mining and Business Intelligence, Enterprise Data Warehouse, and more.
Executive Search β’ Recruiting β’ Consulting β’ Outsourcing β’ Staff Augmentation
201 - 500 employees
β’ Develop, train, and deploy machine learning models that drive ad recommendations and bidding systems within our AI-native advertising platform. β’ Build and optimize NLP pipelines to interpret user intent, enabling real-time product recommendations and personalized ads. β’ Design and scale the machine learning infrastructure to support large-scale, AI-driven ad systems, ensuring low latency and high reliability. β’ Explore and implement new ML algorithms and techniques to continuously improve system performance and scalability. β’ Collaborate closely with cross-functional teams, including backend engineers and product managers, to align business objectives with technical solutions. β’ Utilize cloud platforms (GCP, AWS) and distributed computing technologies to manage and scale machine learning models.
β’ Proven experience in machine learning, with expertise in deep learning architectures and frameworks like PyTorch or TensorFlow. β’ Strong proficiency in NLP (Natural Language Processing) and large language models (LLMs), including experience building and optimizing embedding models. β’ Hands-on experience with Python and related ML libraries. β’ Knowledge of backend systems, including API development, database optimization, and high-concurrency environment management. β’ Experience in ads systems, including familiarity with bidding, auction algorithms, and optimizing ad performance metrics. β’ Experience with cloud platforms (GCP, AWS) and distributed computing technologies is a plus. β’ Strong problem-solving skills, ability to iterate quickly, and eagerness to experiment with innovative solutions. β’ Self-starter mindset with the ability to work independently in a remote, fast-paced startup environment. β’ Mandarin or experience working with international teams is a plus but not required.
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