Forward-Deployed AI Engineer
Bottomline (company site, opens in a new tab)3–4 yrsOn-siteDirect career pageEst. 14–24 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Translate business problems into AI solutions built entirely within Snowflake using native AI and ML capabilities.
- Develop, evaluate, and deploy machine learning models (classification, regression, NLP, anomaly detection, document intelligence) as live production services.
- Collaborate with data engineers on infrastructure; own AI project lifecycle from problem framing to governance and adoption, delivering measurable business impact.
Minimum Requirements
- 3-4 years professional experience in data science, machine learning, or applied AI.
- Strong Python skills focusing on data manipulation libraries (pandas, scikit-learn, numpy); fluent in writing complex SQL queries with window functions and CTEs.
- Experience building and evaluating classification or regression models; familiarity with NLP, document extraction, recommendation systems, or anomaly detection.
- Location: India (Pune, Bangalore, or Remote India). Work Experience Required: 3-4 years. Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building AI-native solutions that operate fully within enterprise cloud data platforms (Snowflake) rather than traditional ML infrastructure.
- Able to work directly with stakeholders and translate technical results into clear business recommendations without managerial intermediaries.
- Comfortable working with messy, real-world business data and conducting rigorous AI model evaluation with systematic quality measurements beyond basic accuracy.