AI / ML Engineer

Build and maintain the model pipelines behind our product — fine-tuning, retrieval, evaluation and the harness that decides what ships. Build and maintain the model pipelines behind our product — fine-tuning, retrieval, evaluation and the harness that decides what ships. About the Role Our model layer is the product, not a feature of it. This role builds and maintains the pipelines behind it — fine-tuning runs, retrieval components, evaluation datasets and the scoring harness that decides whether a model version ships. You work under the AI/ML Lead alongside our AI fellows, which means part of the job is setting the standard for how experiments are run and recorded. This is applied engineering, not research: the measure is whether it works in production for a client. 02 Key Responsibilities 1 Build model pipelines Data preparation, fine-tuning runs, checkpoint management and deployment. 2 Own retrieval quality Chunking, embedding, reranking — and measuring whether each change actually helped. 3 Write the evaluations Build golden datasets and regression suites so model quality is a number, not an opinion. 4 Do the error analysis When output is wrong, find out why and fix the cause rather than the prompt. 5 Watch cost and latency Track inference cost per transaction and keep it inside the envelope. 6 Work with the fellows Review their experiments and help them reach production standard. 03 What You Bring 3–5 years in applied machine learning, or an AI fellowship with demonstrated production contribution. Strong Python; Py Torch and the Hugging Face ecosystem as daily tools. You have run a fine-tune and can explain why it did or did not move the metric. Retrieval pipelines built and tuned in production — and measured, not assumed. You write evaluation datasets rather than judging model output by eye. You can read a paper and tell whether it is worth implementing. 04 What Would Be Great to Have OCR and document extraction pipelines. Speech and audio processing. Quantisation and inference optimisation. Model governance and documentation under ISO 42001. Sound like you? Send your CV to careers@newstreettech.com . The subject line is filled in with the role code ( NS-AIE-001 ) for you. Apply for this role Department Engineering · AI / ML Reports to AI / ML Lead Role code NS-AIE-001 Apply for this role or email careers@newstreettech.com Copy job link Share job On this page About the Role Responsibilities What You Bring Great to Have About New Street New Street is an award-winning fintech building AI-powered platforms that transform how financial institutions operate. Established in 2017 and ISO 9001 & ISO 27001 certified, we serve 170,000+ customers across lending, trade finance and payments, partnering with leading banks across India, the GCC and Southeast Asia. ★ Financial Times — 7th Fastest-Growing Fintech, Asia Pacific ★ Deloitte Technology Fast 50 ★ Aegis Graham Bell Award ★ World Fintech Awards 2025 ★ FICCI IBA Best Emerging Technology Platform Keep exploring Other open roles All roles Experienced Engineering · Client Delivery Engineering Lead Hands-on full-stack lead owning design, development and go-live of client implementations on our AI-driven platform. 8–10 years Bengaluru View role Early career Engineering · Delivery Bench Software Engineer · Android Build our mobile client in Kotlin and Jetpack Compose — the UI Agent and client-facing mobile surfaces. 1–2 years Bengaluru View role Quick Links Home About Products Careers Annual Reports Partners News Contact India +91 89049 06660 hr@newstreettech.com UAE +971 55 9298 123 info@newstreettech.com Social Media © 2026 New Street Technologies. All Rights Reserved. Privacy Policy