Data Scientist II
Prismforce Pvt Ltd
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 practicesRequirements : - 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 objectivesBonus : - 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 frameworksWhat 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. (ref:hirist.tech)
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- ...RESTful APIs and services.- Optimize AI/ML models for performance, scalability, reliability, and cost efficiency.- Design and implement data pipelines to support AI/ML applications.- Work with vector databases such as Pinecone, Milvus, and Weaviate.- Develop and maintain...
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- ...parity with existing services.- Work with existing shared libraries/SDKs and FastAPI frameworks.- Integrate APIs with backend systems and data stores.- Implement request validation, error handling, authentication/entitlement logic, and API transformations.- Develop unit and...
- ...leveraging Kubernetes and modern container orchestration technologies.- Collaborate with Product Managers, Enterprise Architects, Data Scientists, and Engineering teams to translate business requirements into scalable AI solutions.- Mentor technical teams and establish a...
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