
Responsibilities (additions/highlights):
- Own end-to-end modules: from problem scoping to deployment and monitoring
- Design and productionize NLP/ML solutions for complex, ambiguous problems
- Lead - evaluation framework design, including baselines, benchmarks, and offline vs. live metrics
- Collaborate with product managers and engineers to align model behavior with user value
- Conduct peer code reviews, mentor junior DSs, and push for modeling best practices
Requirements (additions/highlights):
- 8-13 years of experience in applied NLP/ML, with at least one productized solution
- Strong understanding of modeling tradeoffs, data labeling strategies, and error analysis workflows
- Experience fine-tuning or customizing transformer models for downstream tasks
- Familiarity with pipeline orchestration, versioning, and ML lifecycle best practices
- Comfortable in an experimentation-driven environment with evolving objectives
Bonus:
- Experience with embedding space alignment, taxonomy bootstrapping, or knowledge graph integration
- Prior work on ML evaluation at scale, drift detection, or human-in-the-loop systems
- Exposure to vector search, LLM agent orchestration, or data curation frameworks
What Makes Us Unique?
- First-Mover Advantage: We are the only Vertical SaaS product company addressing Talent Supply Chain challenges in the IT services industry.
- Innovative Product Suite: Our solutions offer forward-thinking features that outshine traditional ERP systems.
- Strategic Expertise: Guided by an advisory board of ex-CXOs from top global IT firms, providing unmatched industry insights.
- Experienced Leadership: Our founding team brings deep expertise from leading firms like McKinsey, Deloitte, Amazon, Infosys, TCS, and Uber.
- Diverse and Growing Team: We have grown to 160+ employees across India, with hubs in Mumbai, Pune, Bangalore, and Kolkata.
- Strong Financial Backing: Series A-funded by Sequoia, with global IT companies using our product as a core solution
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