Exploring the Role of a ML & MLOPs Lead 2024 at Fiserv in Bangalore
Join Fiserv: Pioneering Fintech and Payments Innovation
Are you an innovator eager to make a significant impact in the fintech and payments industry? Fiserv in Bangalore Look no further! Fiserv, a global leader in fintech and payments, is calling all visionaries to join our dynamic team. We’re committed to moving money and information worldwide, connecting financial institutions, corporations, merchants, and consumers seamlessly. Every time you swipe your credit card, make a payment through a mobile app, or withdraw money from the bank, Fiserv is there, ensuring quick, reliable, and secure transactions.
What Makes a Successful ML & MLOps Lead at Fiserv?
Fiserv is on the hunt for an experienced Lead Developer specializing in custom Machine Learning (ML) implementation with Python and MLOps. If you’re passionate about cutting-edge technology and want to be part of a top-notch product where ML is used for fraud detection, this opportunity is perfect for you.
As an ML & MLOps Lead, you’ll be at the forefront of cutting-edge technology, working on top-notch products where machine learning drives fraud detection and other critical financial operations. Your expertise will help shape the future of financial security and innovation, making a tangible impact on a global scale. If you’re passionate about leveraging advanced ML techniques and industry-leading MLOps practices, this role offers the perfect platform to showcase your skills and drive significant technological advancements.
Apply Here: Fiserv ML & MLOps Lead Position
Key Responsibilities:
- Collaborate with Data Scientists: Work closely with data scientists to implement ML models for fraud detection, underwriting, and more.
- Data Management: Understand the data scope, perform dimensionality reduction, data cleaning, and other preprocessing tasks.
- Algorithm Selection: Suggest and implement appropriate ML algorithms to bring value to the project.
- End-to-End Implementation: Handle the complete ML implementation for fraud detection, ensuring efficiency and accuracy.
- MLOps Excellence: Apply industry best practices to continuously improve the MLOps pipeline.
- Framework and Governance: Implement MLOps frameworks and governance, incorporating enterprise and other governing body security standards.
- Architecture and Roadmap: Understand and create the architecture and roadmap for custom ML applications.
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Step into the Future of Fintech with Fiserv: ML & MLOps Lead Opportunity in Bangalore
Are you a tech enthusiast ready to transform the world of finance? Fiserv, a global frontrunner in fintech and payments, is seeking a dynamic and innovative ML & MLOps Lead to join our team in Bangalore. At Fiserv, we revolutionize the way money and information move across the globe, ensuring seamless, secure, and efficient transactions for millions of users daily.
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Microsoft Azure Storage is making this vision a reality. If you are passionate about cutting-edge technology and want to be part of a team that is transforming cloud storage, Microsoft Azure Storage is the place for you.
Essential Qualifications:
- Extensive IT Experience: 12+ years in IT, including 4+ years in machine learning.
- Technical Expertise: Proficiency in designing, developing, and deploying models in Python, utilizing data from AWS, Snowflake, Kafka/MQ, etc.
- Integration Skills: Experience integrating Snowflake and AWS tools.
- Scripting Skills: Ability to develop scripts in Unix/Python for implementing MLOps.
- Collaboration: Experience working with business and architectural teams to implement enterprise practices.
- Support Experience: Ability to work with application support teams to analyze data, troubleshoot issues, and fix them during production outages.
- Technical Proficiency: Expertise in Python, ML, MLOps, Unix, SQL, and AWS.
Preferred Skills:
- Snowflake
- Message Queue (MQ)
If you’re ready to embark on a journey that combines innovation, technology, and global impact, apply now to join Fiserv as an ML & MLOps Lead. Discover how you can shape the future of fintech and payments.