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128 Visa Jobs

Staff Data Engineer - (AI/ML,Distributed systems Model Dev)

5-10 years

Bangalore / Bengaluru

1 vacancy

Staff Data Engineer - (AI/ML,Distributed systems Model Dev)

Visa

posted 2d ago

Job Role Insights

Flexible timing

Job Description

  • As a Staff Data Engineer in the Data & AI Platform team, you will design, enhance, and build solutions dealing with batch and real-time data in a fast-paced environment. We believe in self-managing Agile teams who build products end to end focusing on unit testing, code reviews and continuous integration for excellent code quality.
  • As a team of passionate and dedicated engineers, we are the backbone for Data Engineering & Machine Learning developments at Visa. We analyze, optimize, and automate the whole nine yards of the ML process and cover a wide spectrum of models deployed across the globe
What We Offer:
  • Exciting Challenges: Training ML models at scale requires solving hard problems across the entire stack. We offer limitless opportunities to learn, leverage, and lead in this ever-growing field.
  • Teamwork and Fun: Each of us brings diverse and rich experiences to the team, enabling us to deliver much more and have fun at the same time.
  • Fantastic people: With strong leadership, you will have the opportunity to learn, collaborate and deliver together with some of the best and most creative minds in the industry.
  • This team is growing fast. With the way machine learning becomes core to every product, you will get a chance to improve the ML platform with specialized capabilities. Join us and be an integral part of the group that is at the leading edge of ML Engineering.

What you will Do:

  • You will leverage your out of the box thinking to implement effective and efficient solutions for our users.
  • You will use your strong technical background in designing, implementing, engineering, and optimizing our machine learning platform and products in a fast-paced environment.
  • You will guide team, build and push code into production and understand the importance of performance, testability, and maintainability.
  • This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Basic Qualification
-5+ years of relevant work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.

Preferred Qualifications:
-6+ years of experience in Data Infrastructure, AI OR ML.
-Industry experience building end-to-end Machine Learning Platform
infrastructure or building and productionizing Machine Learning models.
-Proficient in cloud computing and data processing
 
infrastructure and tools:
Kubernetes, Airflow or equivalent, Spark, Hive, SQL.
-Proficient in some of the ML training and deployment frameworks like:
Tensorflow, PyTorch, Ray etc.
-Good understanding of Machine Learning best practices on training, serving, skew minimization, A or B test, feature engineering, model selection. Working knowledge on ML algorithms like gradient boosted trees, neural networks or deep learning, optimization.
-Good understanding of features that help Platform to keep up with the latest advancement of generative AI and large language models.
-Strong ownership and ability to lead project end to end. Good communicator, both to technical and business audiences.
-Ability to work in multicultural, cross functional team, and to deal with ambiguity in business and technology.

Employment Type: Full Time, Permanent

Read full job description

Visa Interview Questions & Tips

Prepare for Visa Data Engineer Staff roles with real interview advice

Top Visa Data Engineer Staff Interview Questions

Q1. Maximum Equal Elements After K Operations You are provided with an array/list of integers named 'ARR' of size 'N' and an integer 'K'. Your ... read more
Q2. Given a grid containing 0s and 1s and source row and column, in how many ways, could we reach form source to target. ( 1's represents a bloc ... read more
Q3. Stock Buy and Sell Problem Statement You are given an array of integers PRICES where PRICES[i] represents the price of a stock on the i-th ... read more
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What people at Visa are saying

3.0
 Rating based on 12 Data Engineer Staff reviews

Likes

The only good thing about Visa Banglore is the cafeteria everything else is a failure

  • Salary - Good
Dislikes

Clueless upper and middle management, Its like a distillation of incompetence, Everyone even mediocrely good has either quit or has been fired, Managers if you are competent look at you as a threat, Greatest sin is questing them, you can forget about you review and hikes then. if you are idiot you are welcomed and offered anything you want

  • Skill development - Bad
  • +5 more
Read 12 Data Engineer Staff reviews

Data Engineer Staff salary at Visa

reported by 44 employees with 6-14 years exp.
₹25.6 L/yr - ₹70 L/yr
29% more than the average Data Engineer Staff Salary in India
View more details

What Visa employees are saying about work life

based on 365 employees
88%
87%
76%
100%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Visa Benefits

Free Transport
Cafeteria
Work From Home
Education Assistance
Health Insurance
Gymnasium +6 more
View more benefits

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