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Tier-1 brand, metro location, mid-level AI role, and popular ML/LLM skills drive high competition.
Core ML engineering skills are transferable, but forensic and regulatory focus raises domain specificity.
Explicit 3+ years requirement plus mandatory ML, LLM and Python/API skills increase shortlisting strictness.
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Design, develop, test, and implement AI-enabled solutions within Deals practice.
Collaborate with business and technical stakeholders to clarify AI use cases and effectively manage tasks to deliver quality work on time.
Support quality assurance and adapt to changing priorities while enhancing forensic accounting and compliance analytics capabilities.
Bachelor's degree required.
At least 3 years of relevant work experience.
Proficiency in English (oral and written) mandatory.
Experience with Python, REST APIs, and AI/machine learning frameworks (Streamlit, FastAPI) implied but not explicitly stated as mandatory.
Experienced in applying machine learning and AI concepts including model selection and experimentation.
Familiarity with language models such as Azure OpenAI, OpenAI, Bedrock, and Vertex AI for summarization and classification tasks.
Skilled in forensic accounting and compliance oversight context and comfortable with evolving project requirements.