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Tier-1 brand, mid-level generalist role, metro location, and popular engineering title increase candidate competition.
Technical stack (.NET, Python, ML) is transferable, though tax-domain experience provides moderate industry specificity.
Explicit 3-5 years and mandatory .NET, Python, ML/GenAI and .NET Core requirements enforce strict filters.
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Develop, support, and maintain tax-related software applications using .NET, Python, and AI/ML technologies.
Collaborate with US and vendor teams on software design, architecture, and delivery ensuring quality, functionality, and timeliness to meet client expectations.
Participate in agile processes including daily SCRUMs and may work staggered shifts overlapping with US teams for project delivery.
3 - 5 years of professional experience in software development involving Machine Learning, Gen AI, Python, C#, and .NET technologies.
Strong hands-on experience (2+ years) with Machine Learning (data engineering, ML algorithms), Gen AI, Python, C#, SQL Server; and at least 1 year with .NET Core, ASP.NET Core Web API, Microservices architecture.
Bachelor’s degree in BE/B.Tech., MCA, M.Sc. Computer Science, or M.Tech.
Ability to work staggered shifts (11am-8pm) to coordinate with US teams.
Experienced in both backend (.NET Core, API, Microservices) and AI/ML development (Python, Gen AI) within tax or consulting domain technology teams.
Comfortable collaborating across geographies with US counterparts and vendor teams, indicating strong cross-cultural and remote working experience.
Capable of delivering high-quality, scalable code in an agile environment with attention to rigorous standards and low defect rates.