Ai / Ml Engineer

We are seeking an AI / ML Engineer with over 5 years of expertise in conventional machine learning and experience or interest in generative AI to develop Sports Companion GPT - Aiko for sports applications, specifically targeting Cricket and Football. The ideal candidate will have extensive experience building and optimizing ML models and working with large datasets, with experience in fine-tuning generative AI models and familiarity with Azure cloud platforms as a plus. Previous experience with sports-related datasets is advantageous but not mandatory. Based in Delhi, you will collaborate with data scientists, software engineers, and sports domain experts across our global teams to create an AI model that delivers actionable insights and innovative solutions, while also contributing to the development of a generative AI evaluation framework.

Key Responsibilities :

• Model Development : Design and develop AI models for Sports Companion GPT - Aiko, combining conventional ML techniques (e.G., regression, classification, clustering) with generative AI models for Cricket and Football applications, such as player performance prediction, game strategy optimization, injury risk assessment, or fan engagement analytics.
• Generative AI Fine-Tuning : Fine-tune pre-trained generative AI models (e.G., transformers, GANs) using Cricket and Football-specific datasets to generate insights, predictions, or content tailored to these sports, if applicable.
• Gen AI Evaluation Framework : Develop and implement a robust evaluation framework for generative AI models, including metrics for accuracy, relevance, coherence, and domain-specific performance in sports applications.
• Data Processing : Process and analyze large, complex datasets (e.G., player statistics, video analysis, sensor data, or text data) to prepare data for training both ML and generative AI models.
• Algorithm Development : Implement and optimize ML algorithms and generative AI architectures, ensuring seamless integration for Cricket and Football use cases.
• Model Training & Evaluation : Train, fine-tune, and evaluate models to achieve high accuracy, scalability, and robustness, using metrics relevant to sports applications.
• Collaboration : Work with sports analysts, data engineers, and domain experts across India, the UK, Singapore, and the Middle East to incorporate domain knowledge into Aiko and align with business objectives.
• Deployment & Optimization : Deploy models into production environments, preferably leveraging Azure cloud platforms, ensuring efficient inference for real-time or near-real-time sports applications.
• Research : Stay updated on advancements in ML and generative AI, applying relevant techniques to improve model performance and evaluation frameworks.
• Documentation : Document model architectures, fine-tuning processes, evaluation frameworks, and performance metrics for reproducibility and knowledge sharing.
• Ethical AI : Ensure models are developed with fairness, transparency, and ethical considerations, mitigating biases in predictions or generated outputs.

Qualifications : Experience :

Preferred Qualifications :