We are looking for a Staff ML Scientist to design and develop nextgeneration AI and ML models that solve realworld challenges in the payments ecosystem covering transaction monitoring fraud detection and risk mitigation across multiple Visa businesses. You will be part of cross-functional team of data scientists and ML engineers based out of Bangalore and collaborating globally driving innovation in the Risk and Identity Solutions (RaIS) through advanced AI / ML technologies.
You will combine deep technical expertise with ownership velocity and influence. You will drive the scientific roadmap at scale ensuring models are aligned explainable and robust and youll collaborate with worldclass experts while influencing product strategy in a highstakes domain. The position offers access to toptier compute tools and datasets and a collaborative innovative culture focused on shaping the future of global payments.
Responsibilities
- Extract insights from large-scale Visa datasets across business lines to define high-value fit-for-purpose problems beyond payments - driving clarity and framing business impact with precision.
- Rapidly design experiment and deploy SOTA ML / AI models owning the full lifecycle and ensuring solutions are scalable measurable and aligned with strategic goals.
- Lead future-forward AI / ML research proactively identifying emerging techniques publishing influential work and filing patents to amplify Visas innovation footprint.
- Integrate models into production with engineering and product teams building robust compliant pipelines with an eye on velocity reliability and business outcomes.
- Mentor scientists using Generative AI tools cultivating technical depth research excellence and a culture of rigor and collaboration
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Preferred Qualifications
You have 7-10 years of work experience with a Bachelors Degree or with an Advanced degree. PhD / MS in computer science machine learning or related field preferred.Strong fundamentals in machine learning deep learning and optimization and solid understanding of the math behind them.You should be able to derive algorithms from first principles and understand their limitations.Proven track record of 6 years of building AI / ML models which can handle scale (think model size latency architecture etc.).Youve shipped models that matter ideally in production environments with real users and measurable impact.You have deep technical and domain expertise in at least two domains where you are able to connect different ML techniques (e.g. contrastive learning domain adaptation etc.) to appropriate business problems.Fluency in code you write clean efficient Python and youre comfortable navigating large codebases.You treat code as a medium for clarity and experimentation. You have experience in PySpark PyTorch tensor flow as well as GPU based compute environments.Research mindset with product intuition. You know when to read papers and when to write them.You can balance novelty with practicality and know how to translate ideas into working systems.You are deeply technical covering both ML as well as deep learning fundamentals spanning design pre-training fine-tuning and evaluation.Ownership and velocity. You take initiative move fast and iterate. You dont wait for permission you define the problem build the solution and drive it to completion.Communication clarity. You can explain complex ideas simply whether in a design doc a pull request or a hallway conversation. You write well and think clearly.Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work : No
Employment Type : Full-time
Key Skills
Laboratory Experience,Bioinformatics,Biochemistry,Utility Locating,Assays,Research Experience,Next Generation Sequencing,Sensors,Signal Processing,Matlab,Research & Development,Molecular Biology
Experience : years
Vacancy : 1