F

Senior AI/ML Engineer - Finance

flexiple India
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Build and deploy AI/ML models for finance, experiment with LLMs, and collaborate with backend engineers. Manage full AI model lifecycle, review data quality, and partner with product and finance teams. Ensure AI accountability and document features.

Key Highlights
Build and deploy AI/ML models for finance
Experiment with LLMs and generative AI APIs
Manage full AI model lifecycle
Collaborate with backend engineers
Review and improve data quality
Partner with product and finance teams
Ensure AI accountability
Technical Skills Required
Python SQL PostgreSQL ETL pipelines AI APIs Node.js OpenAI APIs Hugging Face Anthropic APIs W&B
Benefits & Perks
Remote work
Autonomous work
Full ownership

Job Description


Company Details

Kudwa is a venture‑backed San Francisco startup on a mission to make sophisticated finance capabilities available to every business—not just the Fortune 500. Powered by an AI Finance Manager, we’re eliminating tedious spreadsheets and late‑night reconciliations so founders can focus on growth.

We’re a fully remote team, highly dynamic and a bit crazy as we dream of disrupting the finance industry. We speak regularly but value autonomous work and full ownership.



Job Roles & Responsibilitie


  • s
    Build and deploy AI/ML models for finance (forecasting, anomaly detection, recommendations
  • ).Experiment with LLMs and generative AI APIs for workflow automatio
  • n.Manage full AI model lifecycle — ideation, prototyping, deployment, monitorin
  • g.Work with Python, SQL, PostgreSQL, ETL pipelines, and AI API
  • s.Collaborate with backend engineers to integrate AI into Node.js platfor
  • m.Review and improve data quality, pipelines, and MLOps practice
  • s.Partner with product, engineering, and finance teams to design intelligent system
  • s.Ensure AI accountability with monitoring, retraining, explainability, and fallback mechanism
  • s.Document AI features and support transparency of decision-making processe


s.
Ideal candidate prof


  • ile
    3–5 years of hands-on experience in building/deploying AI/ML syst
  • ems.Strong Python skills with data structures, APIs, and modeling techniq
  • ues.Solid SQL/PostgreSQL experience for handling structured datas
  • ets.Exposure to AI tools (OpenAI APIs, Hugging Face, Anthropic APIs, W&
  • ;B).Basic backend knowledge (REST APIs, Node.js integratio
  • ns).Collaborative, ownership-driven mindset with curiosity about finance/SME syst


ems.

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