---
title: 'Senior Data Scientist (OCR/CV) at Workato'
canonical: 'https://feeny.ai/job/senior-data-scientist-ocr-cv-workato-singapore-h4d0afxbbd1b'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Data Scientist (OCR/CV) at Workato

- **Company:** Workato
- **Location:** Singapore
- **Posted:** 2025-12-09
- **Last confirmed live:** 2026-09-05
- **Apply:** https://www.workato.com/careers?gh_jid=8304750002#open-roles

## Job description

## About Workato

Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit [workato.com](https://www.workato.com/).

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment [along with a multitude of benefits](http://www.workato.com/careers) they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

- [Business Insider](https://www.businessinsider.com/47-enterprise-startups-to-bet-your-career-on-in-2020-2019-12) named us an “enterprise startup to bet your career on”

- [Forbes’ Cloud 100](https://www.forbes.com/cloud100/#a57477b5f941) recognized us as one of the top 100 private cloud companies in the world

- [Deloitte Tech Fast 500](https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html) ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

- [Quartz](https://qz.com/work/2053446/the-best-companies-for-working-from-home/) ranked us the #1 best company for remote workers

## Responsibilities

We are looking for an exceptional Senior Data Scientist (OCR/CV) to join our growing AI team and work on OCR-focused product capabilities. You will design, build, deploy, and improve machine learning systems for intelligent document understanding. The project involves extracting information from complex document layouts, including tables, embedded images, multi-column text, forms, and other non-trivial visual elements, while maintaining high accuracy and robustness in production environments. This role is ideal for someone with strong analytical thinking, solid computer vision expertise, and hands-on experience building ML systems for real-world document understanding tasks. Experience with OCR pipelines and LLM-based post-processing or document understanding systems is highly desirable.

In this role, you will also be responsible to:

- Build and improve AI services using LLMs and custom machine learning models for production use cases.

- Design, develop, and operate ML/LLM systems end-to-end, from prototyping to deployment and monitoring.

- Write high-quality Python code that is testable, maintainable, and efficient.

- Improve validation, observability, and performance monitoring for ML services (quality, latency, reliability, cost).

- Partner cross-functionally with product managers, platform engineers, and other stakeholders to ship AI-powered product capabilities.

- Evaluate and improve existing implementations by identifying bottlenecks, bugs, and opportunities for optimization.

- Design controlled experiments to test the features for our AI-based products and perform deep analysis from the results to find actionable insights

- Contribute to technical design and code reviews, helping raise engineering quality across the team.

- Experiment and iterate on model behavior, prompting, retrieval, tool use, or orchestration strategies to improve user outcomes.

Required Qualifications

- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience

- 3+ years of experience in Machine Learning Engineering, Data Science, or a similar role.

- Strong Python programming skills.

- Hands-on experience with CV and/or LLM-based systems.

- Experience deploying and operating ML services in production.

- Strong understanding of software engineering fundamentals (testing, code quality, debugging, version control).

- Ability to work collaboratively in a fast-moving environment and drive projects with ownership.

## Preferred Qualifications

- Experience with tool-use agents or workflow-aware AI systems.

- Experience building AI products in enterprise SaaS environments.

- Experience with A/B testing and statistical significance techniques.

- Experience with LLMOps/MLOps tooling and practices (monitoring, evaluation pipelines, model rollout, CI/CD).

- Experience working with modern data warehouses such as Amazon Redshift or Snowflake.

Job Req ID: 2455

## About Workato

## Company Overview
- **One-liner**: Workato is an enterprise orchestration platform that provides an Integration Platform as a Service (iPaaS) and an Enterprise Model Context Protocol (MCP) to make AI agents secure, scalable, and accurate.
- **Entity Type**: Private (Series E; total funding $525M)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2013
- **Founders**: Vijay Tella (CEO & Co-Founder)

## Core Business
- **Primary industry**: Enterprise automation, integration platform as a service (iPaaS), AI agent orchestration
- **Target customers**: B2B, Enterprise (Fortune 500 companies, SMBs), IT, operations, HR, sales, marketing, finance, and product teams
- **Mission or purpose statement**: “To help enterprises realize the true potential of agents by bringing them from the edge of your business to the core.” [workato.com](https://www.workato.com/)

## Products & Services
- **Workato Enterprise MCP**: A platform purpose-built for agentic AI, offering predictable, scalable, and secure orchestration of AI agents across enterprise systems. [workato.com](https://www.workato.com/)
- **Workato GO**: A new AI super app that allows users to search, act, and orchestrate across the enterprise. [workato.com](https://www.workato.com/) / [linkedin.com](https://www.linkedin.com/company/workato)
- **iPaaS (Integration Platform as a Service)**: The core product that connects applications, data sources, and processes, enabling end-to-end automation for functions such as HR, sales, marketing, finance, support, and product. [workato.com](https://www.workato.com/about_us)

## Market Standing
- **Valuation**: Not publicly disclosed (private company)
- **Key Metrics**: Annual Revenue ~$150M (latest estimate); Total Funding $525M (Series D & E, plus earlier rounds). [linkedin.com](https://www.linkedin.com/company/workato)
- **Notable Investors/Partners**: Battery Ventures (led Series E), Altimeter Capital, Insight Partners (led Series D), Storm Ventures, Digital Industry Singapore. [linkedin.com](https://www.linkedin.com/company/workato)
- **Growth Signals**: Trusted by more than 50% of the Fortune 500; 1,087 employees with +3.1% monthly headcount growth; active job postings increasing +22.9% month-over-month; launched Workato GO in June 2025; acquired DeepConverse in March 2025. [linkedin.com](https://www.linkedin.com/company/workato) / [workato.com](https://www.workato.com/)

## Competitive Advantages
- **#1 iPaaS** per Gartner (2026) and recognized as a leader in enterprise integration. [workato.com](https://www.workato.com/)
- **Enterprise MCP** for AI agents, providing a dedicated orchestration layer that makes agents predictable, secure, and scalable – a unique moat in the agentic AI space.
- **Deep ecosystem**: Over 50% of Fortune 500 companies use Workato, indicating strong network effects and enterprise trust.
- **Embedded integration capabilities**: Allows companies to embed Workato’s automation into their own products (embed offering).

## Strategic Focus
- **Agentic AI orchestration**: Positioning as the “trusted orchestration layer for AI agents” with the Enterprise MCP platform.
- **Expansion of AI super app (Workato GO)**: Combining search, action, and orchestration into a single interface for enterprise users.
- **International growth**: Presence in 39 countries, with offices in Palo Alto, San Francisco, Singapore, India, Netherlands, and others. Continued hiring in sales, engineering, and customer success globally.
- **Product innovation**: Investing in AI products (Chief of AI Products role), search/retrieval engineering, and Rust development for performance.

## Why Work Here
- **Culture**: Values include “Act Customer-First”, “Get S#*t Done”, “Raise Our Game”. Emphasis on balance between productivity and wellness. [workato.com/careers](https://www.workato.com/careers)
- **Flexible Working**: Flexible working arrangements, dedicated wellness and recreation time, virtual game nights, fitness sessions. [workato.com/careers](https://www.workato.com/careers)
- **Professional Development**: Training programs, budgets for upskilling, support for individual career ambitions. [workato.com/careers](https://www.workato.com/careers)
- **Benefits**: Health insurance, Employee Assistance Programme (EAP), referral bonuses, stock options. [workato.com/careers](https://www.workato.com/careers)
- **Engineering Culture**: Strong technical roles (Senior Rust Developer, Senior Software Engineer in Search/Retrieval, AI product roles). Average employer rating 4.0/5.0 (423 reviews) with culture rated 3.8, compensation 3.8, career growth 3.6. [linkedin.com](https://www.linkedin.com/company/workato)
- **Global Presence**: Offices in Palo Alto (HQ), San Francisco, Singapore, India, Netherlands, and more – hybrid/remote options available. [workato.com/about_us](https://www.workato.com/about_us)

## Sources
1. [workato.com - About Us](https://www.workato.com/about_us)
2. [workato.com - Careers](https://www.workato.com/careers)
3. [workato.com - Homepage](https://www.workato.com/)
4. [linkedin.com - Company Page](https://www.linkedin.com/company/workato)
5. [job-boards.greenhouse.io - Workato Jobs](https://job-boards.greenhouse.io/workato/jobs/8188971002)

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