AI/ML Engineer

Role Overview: You are sought after by Xpergia, a client of Uplers, as an AI/ML Engineer with expertise in conventional machine learning and interest in generative AI. Your primary responsibility will be to develop Sports Companion GPT - Aiko for sports applications, focusing on Cricket and Football. You will collaborate with global teams to create an AI model that provides actionable insights and innovative solutions, contributing to the development of a generative AI evaluation framework. Key Responsibilities: - Design and develop AI models combining conventional ML techniques with generative AI models for Cricket and Football applications. - Fine-tune pre-trained generative AI models using Cricket and Football-specific datasets. - Develop and implement an evaluation framework for generative AI models in sports applications. - Process and analyze large, complex datasets to prepare data for training ML and generative AI models. - Implement and optimize ML algorithms and generative AI architectures for Cricket and Football use cases. - Train, fine-tune, and evaluate models to achieve high accuracy and scalability. - Collaborate with sports analysts, data engineers, and domain experts to align with business objectives. - Deploy models into production environments, preferably leveraging Azure cloud platforms. - Stay updated on ML and generative AI advancements to improve model performance. - Document model architectures, fine-tuning processes, and evaluation frameworks. - Develop models with fairness, transparency, and ethical considerations. Qualification Required: - 8+ years of experience in AI/ML engineering, with expertise in conventional ML. - Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn. - Strong knowledge of ML algorithms and familiarity with generative AI architectures. - Experience with data preprocessing, feature engineering, and handling large datasets. - Familiarity with cloud platforms for model training and deployment, preferably Azure. - Strong problem-solving and analytical skills. - Effective communication and collaboration skills. - Previous experience with sports-related datasets is advantageous but not mandatory. (Note: Omitting any additional details of the company as it is not explicitly stated in the provided job description),