3.0 - 7.0 years

0 Lacs

karnataka

On-site

As a Software Engineer at Visa's VAS Innovation team, you will play a crucial role in developing cutting-edge solutions to enhance the capabilities of Value-Added Services (VAS) platform. Your responsibilities will include: - Engaging in the design, development, and implementation of innovative software solutions, such as generative AI and modern integration patterns. - Collaborating with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. - Engaging in continuous learning and development to enhance your skills and knowledge. - Developing client-focused solutions with a mindset to deliver exceptional value and innovation. - Contributing to the design and development of APIs that enhance the integration of VAS applications, platforms, and solutions. - Participating in the advancement of the technology modernization roadmap by adopting best-in-class technology solutions. - Continuously assessing and improving technology stacks, development processes, and methodologies to enhance productivity and quality. - Adhering to industry best practices in software development and emphasizing quality, security, performance, scalability, and resilience. - Implementing best engineering practices and automating software development, testing, and deployment processes to focus on continuous improvement. - Supporting incident management, change, and problem management processes to ensure high availability and reliability of services. Qualifications: Basic Qualifications: - 3 or more years of relevant work experience with a bachelor's degree or 2 years with an Advanced Degree (Masters/PhD in Engineering/Computer Science). - Self-driven and willing to work across technologies/languages. - Expert-level skills in Java and Python with skills in C++ and C# being a bonus. - In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models. - Proficiency in implementing and fine-tuning AI models using popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Ability to work with large datasets and perform exploratory data analysis. - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Expertise in handling multi-threading, concurrency, and error-handling. - Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing large components for enterprise projects. - Knowledge of version control, CI/CD pipelines, and best practices for ML model deployment. Preferred Qualifications: - Understanding of enterprise security, certificate management, etc. - Hands-on experience with Jenkins and container deployment architecture. - Experience using OAuth2.0, SSO, and authentication methods/protocols. - Expertise in application security, SSDLC, and knowledge of cryptography fundamentals.,

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