Software Engineer (1-2 years' experience, Python / Go, ML Engineering)
Visa · Posted Oct 30
Digital payment technology platform and global payment card services corporation
IN - Bengaluru, IndiaFull-timeHybridMid Level1–2 years₹15.0L–₹25.0L yearly44 applicants
BankingPaymentsFinancial ServicesCredit CardsFintechPublic Company
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About the role
Visa is a payments technology company facilitating transactions between consumers, merchants, financial institutions, and government entities across more than 200 countries and territories. The Software and ML Engineering role involves writing and reviewing code across front-end, back-end, data, model training, and inference layers. The engineer will build agentic AI flows, feature pipelines, train and deploy ML models, maintain CI/CD and observability, and ensure secure, compliant production systems.
What you will do
- Write, modify, and review high-quality, testable, and efficient code across front-end, back-end, and data layers.
- Write, modify, and review high-quality, testable, and efficient code across data, model training, and inference layers.
- Efficient use of AI tooling to build, integrate, and support agentic flows within engineering and business workflows.
- Develop and maintain feature engineering pipelines and large-scale data processing jobs using appropriate frameworks and cloud services.
- Train, tune, and evaluate machine learning models, maintaining reproducible experiment tracking and clear documentation of results.
- Package, deploy, and serve models in production using containerization, orchestration, and model serving frameworks.
- Integrate models and services via APIs, messaging queues, feature stores, and databases.
- Ensure parity between training-time and serving-time feature computation, and resolve discrepancies when identified.
- Develop unit, integration, and end-to-end tests with a strong focus on automation, including tests for data quality and model behavior.
- Build and maintain evaluation suites for non-deterministic components such as LLM and agentic workflows, with measurable success criteria.
- Maintain CI/CD pipelines to run tests, validate models, and deploy to environments automatically upon code commits.
- Debug and perform root cause analysis on model and pipeline issues, using AI-driven tools where applicable, and enforce code quality gates through reviews and static analysis.
- Monitor models and applications in production using observability tools; investigate incidents, analyze drift, identify root causes, and implement fixes.
- Optimize models and code fst efficiency, and maintainability.
- Apply secure coding practily, validate inputs, andensure data handling and access controls are robust.
- Comply with regulatory ands and maintain documentation for audits and model risk review.
Skills used in this role
What the employer is looking for
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
- 1-2 years of professional Software Engineering or ML Engineering experience
- Experience in writing, modifying, and reviewing code for commercial or end user applications.
- Experience in debugging and performing root cause analysis on system and ML issues.
- Experience in developing unit, integration, and end-to-end tests.
- Experience in integrating systems via APIs, messaging queues, and databases.
- Experience in applying secure coding practices and complying with regulatory standards.
- Working knowledge of core ML concepts: supervised learning, train/validation/test discipline, overfitting, class imbalance, and the difference between accuracy and a metric that actually matters
- Practical experience with at least one ML framework — scikit-learn, XGBoost, PyTorch, or TensorFlow
- Demonstrated hands-on use of LLM-based or agentic tools in real work, and the ability to explain concretely how you used them, what they got wrong, and how you verified the result
- Familiarity with SSDLC, Git and a normal code review workflow
- Experience in developing and maintaining data pipelines and large-scale data processing jobs.
- Experience building an agentic or LLM-powered application — tool calling, retrieval, multi-step orchestration, or an MCP-style integration
- Experience evaluating non-deterministic systems: writing evals, building regression suites for prompts or agents, or measuring agent task success
- Regular use of an agentic coding environment such as Claude Code, and a considered opinion on where it accelerates work and where it should not be trusted
- Experience taking a model from a notebook to something that runs on a schedule or serves live traffic
- Exposure to model serving infrastructure — Triton Inference Server, TorchServe, ONNX Runtime, or similar
- Exposure to containers and Kubernetes
- Experience with a workflow orchestrator such as Airflow, Dagster, or Kubeflow
- Coursework, competition placements, publications, or open-source contributions in ML
- Experience in optimizing code for performance, cost efficiency, and maintainability.
- Experience in collaborating with cross-functional teams to translate business requirements into technical solutions.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Visa
Visa Inc. is a multinational payment card services corporation that facilitates electronic funds transfers worldwide. The company empowers global commerce through its secure digital payment network, connecting consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.
- Industry
- Banking
- Company size
- 34100 employees
- Founded
- 1958-09-18
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $17.9B raised
Bank of AmericaInstitutional Investors
- 2008-03-19IPO$17.9B
Leadership
RM
Ryan McInerney
Chief Executive Officer
CS
Chris Suh
Chief Financial Officer
JF
Jack Forestell
Chief Product and Strategy Officer
OJ
Oliver Jenkyn
Group President, Global Markets
KM
Kelly Mahon Tullier
Vice Chair, Chief People and Corporate Affairs Officer
Recent coverage
GlobalData
Visa Expands Strategic Partnerships and AI Travel Assistant Offerings2025-10-01
Visa Newsroom
Visa Reports Strong Fiscal Year Financial Results and Processing Volumes2025-10-25
Visa Newsroom
Visa Appoints New Leaders across Global Markets and Technology Divisions2025-08-11