Internship Opportunity Scientific Dataset Engineering ML Infrastructure Location Bengaluru India Duration 3-6 months Target B Tech M Tech BS-MS PhD students What you will do Implement geometry analysis numerical computations deduplication Optimize for 500k cases Quality Control Validation Design solution quality metrics develop anomaly detection build automated audit pipelines Test edge cases thoroughly Data Generation Curation Orchestrate parametric simulation variants integrate with solvers implement diversity-aware deduplication Requirements Must Have Essential B Tech M Tech final year or PhD in Engineering or Applied Math Solid numerical methods knowledge FEM FVM FDM convergence analysis Hands-on coding Python NumPy SciPy Pandas scientific computing experience Comfort with real solvers and scientific workflows not just ML frameworks Highly Valued C expertise C 17 memory optimization performance tuning GPU computing CUDA or HPC experience OpenMP MPI Hands-on with scientific solvers Published papers or significant open-source contributions FAQ Q What domain is this A Confidential Disclosed after NDA signing Q Do I need domain expertise A Strong numerics and coding required Domain knowledge is learnt Q Mentorship level A Weekly 1 1s daily Slack code reviews on every PR open office collaboration Q Remote work possible A No Q Will this lead to a full-time offer A Full-time offers considered for proven track records in execution and code quality Top performers 15-20 fast-tracked for R D SDE roles Strong recommendations provided to all Benefits Why This Internship Is Valuable 1 Access to Advanced Infrastructure Research Support 2 Ownership Visibility 3 Exceptional Mentorship Learning Curve 4 Builds a profile aligned with industry research roles 5 Real Research-Grade Production-Impact Work

📌 Scientific Dataset Engineering And Ml Infrastructure (Bengaluru)
🏢 ZenteiQ Aitech Innovations Private
📍 Bengaluru