AI Model Developer

1 day ago

nashik, India beBeeMachineLearning Full time

Machine Learning SpecialistWe are seeking an experienced Machine Learning specialist to develop a cutting-edge Sports Companion GPT for sports applications, specifically targeting Cricket and Football.Key Responsibilities:Design and develop AI models for Sports Companion GPT, 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 to generate insights, predictions, or content tailored to these sports.Develop and implement a robust evaluation framework for generative AI models, including metrics for accuracy, relevance, coherence, and domain-specific performance in sports applications.Process and analyze large, complex datasets to prepare data for training both ML and generative AI models.Implement and optimize ML algorithms and generative AI architectures, ensuring seamless integration for Cricket and Football use cases.Train, fine-tune, and evaluate models to achieve high accuracy, scalability, and robustness, using metrics relevant to sports applications.Collaborate with sports analysts, data engineers, and domain experts across India, the UK, Singapore, and the Middle East to incorporate domain knowledge into Sports Companion GPT and align with business objectives.Deploy models into production environments, preferably leveraging cloud platforms, ensuring efficient inference for real-time or near-real-time sports applications.Stay updated on advancements in ML and generative AI, applying relevant techniques to improve model performance and evaluation frameworks.Qualifications:5+ years of experience in ML engineering, with significant experience in conventional ML.Proven expertise in building ML models.Experience with fine-tuning generative AI models is a plus but not mandatory.Strong knowledge of conventional 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.MLOps practices, including model versioning, monitoring, and CI/CD pipelines.

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    nashik, India beBeeGenerativeAI Full time

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