Lead Data Scientist / AI/ML Engineer Tier 1 college only Fintech compa
at Staffnixcom
Data Science
Machine Learning (ML)Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.
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Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.
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Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.
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Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.
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Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.
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Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.
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Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.
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Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.
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Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.
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Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered
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Mandatory (Age) - Candidate's Age should be below 37 years.
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Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.
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Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.
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Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.
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Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.
Shubham Vishwakarma
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At Karza technologies, we take pride in building one of the most comprehensive digital onboarding & due-diligence platforms by profiling millions of entities and trillions of associations amongst them using data collated from more than 700 publicly available government sources. Primarily in the B2B Fintech Enterprise space, we are headquartered in Mumbai in Lower Parel with 100+ strong workforce. We are truly furthering the cause of Digital India by providing the entire BFSI ecosystem with tech products and services that aid onboarding customers, automating processes and mitigating risks seamlessly, in real-time and at fraction of the current cost.
A few recognitions:
- Recognized as Top25 startups in India to work with 2019 by LinkedIn
- Winner of HDFC Bank's Digital Innovation Summit 2020
- Super Winners (Won every category) at Tecnoviti 2020 by Banking Frontiers
- Winner of Amazon AI Award 2019 for Fintech
- Winner of FinTech Spot Pitches at Fintegrate Zone 2018 held at BSE
- Winner of FinShare 2018 challenge held by ShareKhan
- Only startup in Yes Bank Global Fintech Accelerator to win the account during the Cohort
- 2nd place Citi India FinTech Challenge 2018 by Citibank
- Top 3 in Viacom18's Startup Engagement Programme VStEP
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Full Stack Developer - Averlon