Visa, a global leader in digital bills, Join Visa As Senior Data Scientist – ML Ops to join their dynamic organization in Bangalore. This is a unique opportunity to paintings on current-day initiatives, leveraging device mastering and facts generation information to electricity Visa’s project of allowing solid, dependable, and cutting-edge charge answers.
- Job Title: Sr. Data Scientist – ML Ops
- Role: Machine Learning Operations and Data Science
- Company: Visa
- Degree: Master’s or Ph.D. in Computer Science, Data Science, Statistics, or associated fields.
- Experience: 5–10 Years in Data Science & ML Ops
- Salary: Competitive (Based on Experience)
- Location: Bangalore, India
Why Join Visa?
Visa is at the vanguard of the bill’s employer, remodeling the manner the arena transacts. As a Sr. Data Scientist – ML Ops, you’ll have the opportunity to:
Work with worldwide teams on impactful system studying projects. Access international-class equipment, generation, and resources. Be a part of a numerous, inclusive, and modern workplace.
Key Responsibilities for Data Scientist:
As a Sr. Data Scientist – ML Ops, your duties will encompass:
- Designing, imposing, and optimizing scalable ML pipelines and frameworks for manufacturing.
- Collaborating with cross-useful organizations to set up gadgets getting to know models at scale.
- Ensuring version reliability, reproducibility, and typical overall performance in production.
- Developing computerized answers for version tracking, validation, and retraining.
- Managing end-to-stop ML lifecycle, which incorporates statistics preprocessing, model training, and deployment.
- Performing advanced information evaluation and characteristic engineering to enhance model accuracy.
- Staying up to date on the contemporary ML Ops tools, frameworks, and first-class practices.
- Documenting tactics and supplying technical mentorship to junior crew individuals.
Skills and Qualifications for Data Scientist:
To accept this function, you have to have the:
- A Master’s or Ph.D. in Computer Science, Data Science, Statistics, or associated fields.
- 5–10 years of experience in data technological expertise and ML Ops roles.
- Strong proficiency in Python, R, or exclusive programming languages.
- Hands-on revel in with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-observe).
- Proficiency in cloud structures (e.g., AWS, Azure, GCP) and containerization tools like Docker and Kubernetes.
- In-depth expertise in statistics engineering pipelines and ETL techniques.
- Strong information on DevOps ideas and CI/CD pipelines for ML.
- Excellent problem-solving and analytical skills.
- Relevant certifications in ML Ops, Data Science, or Cloud Technologies are an advantage.
Benefits of Working with a Visa as a Data Scientist:
- Competitive reimbursement is based totally on enjoyment.
- Comprehensive fitness and health advantages.
- Career improvement possibilities with getting proper entry to advanced studying structures.
- A collaborative and inclusive work lifestyle.
- Opportunities to paint on worldwide tasks with the modern generation.
- Work-lifestyle stability with flexible artwork arrangements.
Application Process
To practice for this interesting function, look at the steps:
1. Click the “Apply Now” button on the method listing.
2. You may be redirected to Visa’s reliable profession portal or a licensed accomplice net website online.
3. Complete the application shape, connect your resume, and post your utility.
4. Check your e-mail for confirmation and further instructions.
About Visa
Visa is a worldwide leader in the payments era, connecting hundreds of hundreds of clients, companies, and governments in over two hundred nations. Visa’s task is to permit constant, reliable, and rapid digital bills whilst driving innovation in the economic technology location.
Click Here to Apply Now!!
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