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Experience
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About the role
You will analyse audit workflows to find opportunities for automation, AI enablement and process improvement. You will work with auditors, risk assurance professionals and business stakeholders to turn audit requirements into scalable AI and automation solutions. You will design, develop, test and validate AI and machine learning models using classical ML, NLP and generative AI techniques. You will build AI-enabled tools such as intelligent assistants, workflow automations and knowledge retrieval systems, and support their deployment and monitoring. You will also prepare documentation, conduct training and mentor junior team members.
Requirements
Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering or related field
3–5 years of hands-on experience developing and deploying AI, machine learning, data analytics, generative AI or automation solutions
Proficiency in Python, R, SQL or similar programming languages
Experience with production-level software development and data engineering
Familiarity with cloud platforms (Azure, AWS, GCP), workflow automation tools and generative AI platforms
Ability to design and implement scalable data pipelines, ETL workflows and APIs
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