Sr. ML Engineer

Visa is hiring a Sr. ML Engineer in IN - Bengaluru.

Responsibilities

• Lead and deliver specific project deliverables as an AI Engineer.
• Provide guidance to the engineering team on building new LLM applications and leveraging existing AI applications.
• Improve the productivity of the engineering organization by infusing AI into coding standards and practices.
• Act as the AI projects design authority and shape best practices and methodologies within the team.
• Design and build scalable machine learning pipelines and AI/ML models.
• Collaborate with data scientists and engineers to integrate AI/ML solutions into production systems.
• Collect, preprocess, and analyze large datasets, ensuring data quality and integrity.
• Train and fine-tune machine learning models, evaluate performance, and continuously improve accuracy and efficiency.
• Conduct research to explore new techniques and methodologies in AI/ML technologies.
• Communicate technical concepts and results to non-technical stakeholders.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Requirements

• 3+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred qualifications

• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• Experience in developing and implementing AI/ML models and algorithms.
• Experience in designing and building scalable machine learning pipelines.
• Experience in collaborating with cross-functional teams to integrate AI/ML solutions.
• Experience in collecting, preprocessing, and analyzing large datasets.
• Experience in training and evaluating machine learning models.
• Experience in modernizing legacy code and adopting emerging technologies.
• Experience in acting as a design authority and shaping best practices within engineering teams.
• Experience in communicating technical concepts to non-technical stakeholders.
• Experience in leading multiple workstreams in AI application development.
• Experience in generative AI and large language models (LLMs).
• Experience in infrastructure automation development and enhancing productivity using LLM models.
• Experience in developing robust and scalable products for cybersecurity.
• Experience in conducting research and experimenting with new AI/ML techniques.
• Experience in mentoring junior team members and leading implementations on key modules.

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