Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Build, train, and improve ML models powering core features such as task detection, workflow segmentation, and process discovery.
Design and own data pipelines handling large-scale multimodal enterprise data; ensure data quality and pipeline health.
Diagnose and resolve data and model issues in production; collaborate with cross-functional teams to translate technical insights into business decisions.
Minimum Requirements
3–7 years industry experience in building and deploying data science or ML solutions in production.
M.S. or B.Tech/B.E. in Computer Science, Statistics, Mathematics, or related quantitative field, or equivalent experience.
Strong Python coding skills with emphasis on clean, modular, testable code.
Experience with large-scale data processing frameworks such as Spark or Databricks; proficiency in at least two areas among supervised/unsupervised ML, NLP, deep learning, sequence modeling, or process mining.
Ideal Candidate Profile
Comfortable handling end-to-end ML lifecycle from data exploration through model deployment and production support in a dynamic, product-focused startup environment.
Skilled in diagnosing complex data and model issues in real-world, large-scale production systems with a focus on enterprise process intelligence.
Experienced in collaborating cross-functionally to deliver technical solutions aligned with business and product priorities, communicating complex insights to diverse stakeholders.