Forward-Deployed AI Engineer
Bottomline21 days ago
Remote, IndiaMid Level
Responsibilities
- Translate business problems such as churn risk, propensity to buy, anomaly detection, and document intelligence into Snowflake-native AI solutions.
- Build and evaluate machine-learning models using Snowflake ML Functions, Snowpark ML, and Cortex AI.
- Design and implement Cortex Agents combining structured queries with unstructured document intelligence.
- Create evaluation frameworks using golden datasets, LLM-as-judge approaches, human review loops, and systematic quality measurement.
- Use Cortex Analyst semantic views to enable natural-language access to business data.
- Build Cortex Search services over contracts, support tickets, product documentation, and other unstructured documents.
- Collaborate with AI and Data Engineers while focusing on applied AI science rather than platform infrastructure.
- Present findings and recommendations to business stakeholders and contribute through problem framing, spikes, evaluation, iteration, governance, and production adoption.
Requirements
- 3–4 years of experience in data science, machine learning, or applied AI.
- Strong Python skills, including pandas, scikit-learn, and numpy, with fluency in SQL and complex analytical queries.
- Experience building and rigorously evaluating classification or regression models using metrics such as precision, recall, F1, and AUC.
- Experience with at least one of NLP, document extraction, recommendation systems, or anomaly detection.
- Ability to work with messy real-world data, including missing values, inconsistent formats, and multiple sources.
- Strong communication skills and ability to work directly with stakeholders and explain findings to non-technical audiences.
- Preferred experience with Snowflake, Snowpark Python, Cortex AI functions, ML model registries, production LLMs, prompt engineering, RAG architectures, Cortex Agents, Cortex Search, Cortex Analyst, evaluation sets, feature engineering, A/B testing, or causal inference.
- Nice-to-have experience with fintech, B2B payments, B2B SaaS, or Streamlit for rapid data-app prototyping.
Benefits
- Permanent, full-time employment.
- Location options include Pune, Bangalore, or remote work within India.
- Opportunity to build AI-native production solutions with direct stakeholder access and a prioritized backlog of business-impact projects.
- Structured AI delivery lifecycle with evaluation, governance gates, and production adoption.
Tech Stack
Categories
Forward Deployed
About Bottomline
Bottomline builds SaaS solutions that help banks, corporates, and other financial institutions automate B2B payments, cash and treasury management, fraud detection, and financial messaging, including SWIFT and real-time payment rails. Founded in 1989 and headquartered in Portsmouth, NH, the company is privately held under Thoma Bravo and says its platforms move more than $16 trillion in payments annually.