Machine Learning Engineer

With data being the fuel that drives our future - our strategies policies and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers businesses and communities is key to our future. With our ongoing commitment to Visas Data Values and the responsible use of data we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities. 

Led by Visas Chief Data Officer the Global Data Office coordinates high-impact complex company-wide projects related to data business strategy critical investments policy development and marketplace execution. Working closely with Visas Chief Privacy Officer the Technology organization the wider data community and the full set of Visas global lines of business the Global Data Office is evolving Visas data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world. 

The AI/ML Products & Analytics team is creating the next generation of scalable and responsible AI ML and Data Innovations and products to solve client and consumer problems. We are a cross-functional team of data scientists product managers AI and data engineers program managers focused on generating value for the payments ecosystem.

• Responsible for building end to end automated pipeline for AI/ML models including model development model validation model refit model recalibration model monitoring and model serving etc.
• Work collaboratively with Data Scientists Data Engineer Software Engineers Product Manager and cross-functional partners to design and deploy AI/ML based solutions and products
• Lead end to-end deployment and maintenance of machine learning models in production from concept design implementation to rollout ensuring the highest quality and performance
• Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations adapting them to Visas unique business and offerings.
• Design implement and maintain reliable high-performance distributed systems.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 

Relocation assistance is not provided for this role. 

Qualifications :

Basic Qualifications:
2 or more years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters MBA JD MD or PhD)

Preferred Qualifications:
3 or more years of work experience with a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
Masters or Advanced Degree in a Quantitative field such as Statistics Computer Science Economics Engineering or equivalent with analytics expertise in applying statistical solutions to business problems
3 years of relevant experience in AI/ML model development and deployment with an Advanced Degree
Experienced with building AI/ML model pipelines and creating robust and scalable AI/ML solutions.
Advanced programming ability building Machine learning pipelines in Spark Python HIVE or Scala Airflow github MLflow that deploy AI models into production
Exposure to model management and governance practices. Ability to take decisions around model drift to monitor and refine models continuously.
Working knowledge of Hadoop ecosystem and associated technologies (For e.g. Apache Spark
MLlib GraphX iPython sci-kit Pandas etc.)
Proficient in advanced data mining and statistical modeling techniques including Predictive
modeling (e.g. binomial and multinomial regression) Classification techniques (e.g.
Clustering Principal Component Analysis factor analysis) Decision Tree Transformer model and LLM etc
Experience working with large scale data ingestion processing and storage in distributed
computing environments / big data platforms (Hadoop) as well as common database systems and value stores (Parquet Avro HBase etc.).
Familiarity with both common computing environments (e.g. Linux Shell Scripting) and commonly used IDEs (Jupiter Notebooks).
Experience working with AWS for MLOps model development and model implementation is preferred but not required.
Proficient with office tools excel word. Familiar with visualization Tools like Tableau Power BI
Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership.

Additional Information :

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137400.00 to 193750.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge skills experience and addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.

Remote Work :

No

Employment Type :

Full-time