or apply directly on Workato's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 20 days Workato's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 6% of Workato's roles list one
- Ghost-job risk at Workato
- high 65 stale, 1 reposted of 102 open
- Hiring momentum
- 216 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Workato's own greenhouse board since 2026-08-03. Full hiring picture for Workato.
About this role
The Senior Data Scientist (OCR/CV) at Workato will focus on developing and enhancing machine learning systems for intelligent document understanding, particularly in extracting information from complex document layouts. Responsibilities include designing, building, and deploying AI services using LLMs and custom models, writing maintainable Python code, and collaborating with cross-functional teams to deliver AI-powered capabilities. The role requires strong analytical skills and expertise in computer vision and machine learning systems.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Workato as an employer.
What you need
- 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)
Nice to have
- 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
Worth weighing
- No salary listed
- Focus on OCR and CV may limit exposure to other areas of AI
- Role requires strong collaboration in a fast-moving environment, which may not suit everyone
Summarised from Workato's posting. Read the full original.
Listed by Workato on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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