Job Description

Calling all innovators \xe2\x80\x93 find your future at Fiserv.We\xe2\x80\x99re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day \xe2\x80\x93 quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we\xe2\x80\x99re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.Job Title Lead Specialist, Data AnalysisWhat does a successful ML & MLOps Lead do at Fiserv?We are in search of experienced Lead Developer with custom ML implementation with Python and MLOps implementation. You will be working on top-notch product where ML is implemented for fraud detection.What you will do:

• Work with Data scientists to implement ML model for Fraud detection, Underwriting, etc.
• Understand the scope of data and come up with dimensionality reduction, data cleaning, etc.
• Bring value to the project by suggesting of appropriate ML algorithms
• End to end Implementation ML for Fraud detection.
• Bring industry best practices of MLOps and continuously improve the MLOps pipeline to be the best.
• Implementation of MLOps framework and governance.
• Incorporate Enterprise and other Governing body security standards in ML Implementation
• Understand and create the architecture and roadmap for custom ML applications.

What you will need to have:

• 12+ yrs of IT experience which includes 4+ yrs of Machine Learning exp.
• Exp with Design, Development & deployment of models in python & utilization of data from different sources like AWS, Snowflake, Kafka/MQ etc.
• Exp with Integration of Snowflake and AWS tools.
• Develop scripts in Unix/python scripting for implementing MLops. Hand-on is a must for ML and MLOps.
• Exp in working with the Business and architectural team to implement enterprise practices and recommendations.
• Exp in working with application support to analyze the data, issues and fix them during production outages.
• Must have expertise in Python, ML, MLOps, Unix, SQL, AWS.

What would be great to have:

• Snowflake, Message Queue (MQ)

Thank you for considering employment with Fiserv. Please:

• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

What you should know about us:Fiserv is a global leader in payments and financial technology with more than 40,000 associates proudly serving clients in more than 100 countries. As one of Fortune\xc2\xae magazine\'s "World\'s Most Admired Companies\xe2\x84\xa2" 9 of the last 10 years, one of Fast Company\xe2\x80\x99s Most Innovative Companies, and a top scorer on Bloomberg\xe2\x80\x99s Gender-Equality Index, we are committed to innovation and excellence.Our commitment to Diversity and Inclusion:We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Warning about fake job posts:Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information.Any communications from a Fiserv representative will come from a legitimate business email address. We will not hire through text message, social media, or email alone, and any interviews will be conducted in person or through a secure video call. We won\xe2\x80\x99t ask you for sensitive information nor will we ask you to pay anything during the hiring process. We also won\xe2\x80\x99t send you a check to cash on Fiserv\xe2\x80\x99s behalf.If you see suspicious activity or believe that you have been the victim of a job posting scam, you should report it to your local law enforcement.

Fiserv