Sr. ML Engineer

Visa
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Cross-functional collaboration","Mentoring","Research"]

Own key AI/ML modules end to end, including code and AI architecture reviews, design authority for best practices, and delivery of project workstreams. Build scalable ML pipelines and models, collect and analyze large datasets, and train, fine-tune, and evaluate performance. Partner with data scientists and engineers to integrate solutions into production, communicate results to non-technical stakeholders, and modernize legacy code with emerging LLM technologies.

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FursaFursa
Visa
Visa
8 hours ago

Sr. ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Own key AI/ML modules end to end, including code and AI architecture reviews, design authority for best practices, and delivery of project workstreams. Build scalable ML pipelines and models, collect and analyze large datasets, and train, fine-tune, and evaluate performance. Partner with data scientists and engineers to integrate solutions into production, communicate results to non-technical stakeholders, and modernize legacy code with emerging LLM technologies.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead and deliver project deliverables as an AI engineer.
  • •Act as AI projects design authority, shaping best practices and methodologies for building LLM applications.
  • •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; train, fine-tune, evaluate, and continuously improve model performance and accuracy.

Key Requirements

  • •3+ years of relevant work experience with a Bachelor’s degree, OR 5+ years of relevant work experience.
  • •Experience developing and implementing AI/ML models and algorithms.
  • •Experience designing and building scalable machine learning pipelines.
  • •Experience collecting, preprocessing, and analyzing large datasets.
  • •Experience training and evaluating machine learning models, including modernizing legacy code and adopting emerging technologies.
Experience:3+ yearsAI/MLGenerative AILarge language models
Education:Bachelor's
Skills:Problem-solvingCommunicationCross-functional collaborationMentoringResearch
Tech Stack:Generative AIChatGPTMicrosoft CopilotLarge language models (LLMs)Machine learning pipelinesLLM models

Company Brief

Visa
Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1958
Glassdoor
Glassdoor: 3.8
WebsiteLinkedInGlassdoor