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Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026.

Overview
Company
Impact
Profile match
TeamPlus Staffing Solution, also known as Team Plus India, is an IT staffing and recruitment firm based in Pune that provides staff augmentation, contract and temporary staffing, contract-to-hire, permanent and executive placement, offshore staffing and recruitment process outsourcing. It recruits for client companies across Indian technology hubs including Bengaluru, Pune, Chennai, Hyderabad, Noida, Gurgaon and Kochi, and also markets AI engineering talent to overseas clients. Its listings are mostly client vacancies for data engineers, AWS cloud support engineers, DevOps and QA engineers, .NET and SAP ABAP developers, PCB and Creo design engineers and BI engineers.

 5-8 years of relevant experience in Data Science (ML and DL)

combined with solid experience in Gen AI solution (2 years).

 Demonstrated track record shipping AIenabled products to

production in an agile environment.

Roles

 The role will report to the AVP or VP leading the team.

The role will involve working on

 Multiple analyses through the year on business problems across the

client experience for the TTS business

 This will involve leveraging multiple analytical approaches, tools and

techniques, working on multiple data sources (unstructured data like

emails, call transcripts, etc., client profile & engagement data,

transactions & revenue data, digital data, etc.) to provide data driven

insights to business partners and functional stakeholders

 As a key contributor to ideation on analytical projects to tackle

strategic business priorities

 The role will require endless curiosity, as ambiguity and open-ended

questions are a core part of the team’s work

 Own endtoend delivery of AIpowered products: requirements,

design, implementation, testing, deployment, and support.

 Apply GenAI techniques (prompt engineering, RAG, finetuning) and

deep learning methods to solve practical user and business

problems.

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