AI Engineer

Responsibilities

• Collaborate with product owners and domain experts to understand business requirements and tailor AI solutions accordingly.
• Work closely with Data Scientists / Cloud Platform teams to deploy models seamlessly into production environments.
• Optimize AI systems and models to ensure high levels of accuracy and reliability.
• Engineer system prompts and integrate API calls to generative AI services (Azure OpenAI, AWS Bedrock) to deliver sophisticated AI-driven solutions.
• Design and develop advanced GenAI models and algorithms to solve complex business problems within the financial sector.
• Train, fine-tune, and validate AI models to ensure high levels of accuracy and reliability.
• Optimize machine learning models and ensure they integrate effectively with existing systems.
• Develop end-to-end GenAI project lifecycle, including data preprocessing, model training, deployment, and continuous improvement.
• Perform hyperparameter tuning, algorithm selection, and feature engineering to optimize model performance. Troubleshoot and resolve issues related to AI models and implementations.
• Ensure compliance with financial services industry (FSI) standards, ethical AI practices, and implement AI governance and AI security safeguards.
• Create and maintain documentation for AI models and their applications.
• Research and stay up-to-date on the latest advancements in AI technologies and methodologies.

Qualifications

Other Skills

Benefits / Career Growth

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