USI | Audit Services | AI and Data Science Engineer III
Deloitte (company site, opens in a new tab)5–6 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and deployment of machine learning models within assigned data science workstreams, focusing on feature engineering and model performance.
- Develop high-quality, production-ready code with well-designed APIs, collaborating with Data Science Managers and subject matter experts to solve complex problems and refine solutions.
- Contribute to project planning and prioritization, supervise junior team members, and stay updated with latest data science trends for potential application.
Minimum Requirements
- 5-6 years of industry experience in designing, developing, and deploying machine learning models.
- Undergraduate degree in a quantitative field such as computer science, engineering, mathematics, physics, machine learning, or statistics.
- Proficiency in Python with relevant libraries (NumPy, Pandas, Scikit-learn), cloud ecosystems (Azure, GCP, AWS), machine learning frameworks (TensorFlow, PyTorch, OpenAI, LangChain) and DevOps tools (Docker, Jenkins, Kubernetes).
- Understanding of LLMs, prompt engineering, and core competencies like NLP, generative AI, anomaly detection, time series, or knowledge graphs.
Ideal Candidate Profile
- Experienced in applying advanced AI/ML techniques including generative AI, prompt engineering, and large language models within audit or assurance contexts.
- Capable of writing clean, well-tested, documented production code and leading technical problem-solving collaboratively with teams.
- Familiar with cloud ML pipelines (especially Azure ML), Agile workflows, and deployment automation, with demonstrated mentoring experience and a strategic outlook on project direction.