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Mid-level ML role, metro location, and strong employer brand increase candidate competition significantly.
Core ML/NLP and automation skills transfer across industries, though financial consulting experience is beneficial.
Explicit 3–7 years requirement plus mandatory Python, ML/NLP, and LLM tool experience raises filter strictness.
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Design, develop, and deploy Python-based automation solutions for recurring reporting and research tasks such as competitor reports, market scans, and data processing.
Build and implement ML/NLP models and Generative AI applications (OpenAI, Claude, Gemini APIs) to support automation and knowledge workflows.
Lead the launch and scaling of a new AI/ML service line, including team building, client solution implementation, and international travel for client engagements.
3–7 years of relevant work experience in AI/ML automation or related fields.
Strong Python programming skills including Pandas, NumPy, Selenium/BeautifulSoup, APIs.
Experience in automation scripting, ML/NLP development, and understanding of ML algorithms and LLM tools.
B.Tech / M.Tech, MCA, or degree in Computer Science, Data Science, Engineering, or related field.
Experienced in developing automation for research or consulting workflows with strong Python and ML/NLP expertise.
Capable of independently managing project deliverables under tight deadlines with analytical rigor.
Willing to lead and scale new technology service offerings, including mentoring and international client interactions.