Software Engineer (1 - 2 years of experience in Python, GenAI, ML, Deep Learning)

Visa is hiring a Software Engineer (1 - 2 years of experience in Python, GenAI, ML, Deep Learning) in IN - Bengaluru.

Requirements

• Bachelor's degree, OR 3+ years of relevant work experience

Preferred qualifications

• Bachelor's degree, OR 3+ years of relevant work experience
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Master's degree or PhD in a relevant technical field.
• Professional experience in software engineering, ML engineering, or platform/infrastructure engineering.
• Solid understanding of core machine learning and deep learning concepts: model training, evaluation, transformer/foundation model architectures, and embeddings. Strong systems and software engineering fundamentals: distributed systems, API/SDK design, and cloud infrastructure (e.g., Kubernetes and a major cloud provider such as AWS, Azure, or GCP).
• Proficiency in at least one language commonly used in AI/platform engineering (e.g., Python, Java).
• Ability to reason about a model or agent across its full lifecycle, from training through production deployment, monitoring, and retirement.
• Hands on fluency with modern AI assisted development, using coding agents, copilots, and LLM based tooling to accelerate day to day engineering work.
• Experience building with or on top of foundation models / large language models: prompting, fine tuning, retrieval augmented generation (RAG), and evaluation frameworks.
• Experience designing or operating AI agent systems: tool calling, multi agent orchestration, memory systems, or agent frameworks.
• Experience building internal developer platforms, SDKs, or self-service tooling used by other engineering or data science teams.
• Experience with feature stores, embedding/vector systems, or knowledge graph and memory systems used by ML or agentic applications.
• Experience with training and batch efficiency techniques such as distributed scheduling, quantization, caching, or compute right sizing at scale.
• Experience operating production systems at high scale, such as large-scale distributed training jobs or high volume batch processing pipelines.
• Experience implementing AI governance, responsible AI, or model risk/compliance controls within a platform. Active engagement with current AI research and open source tooling (e.g., new model architectures, agent frameworks, evaluation methods).

Visa is an EEO Employer

About Visa

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – t