Data Scientist II

Description :

- 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 :

- 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.