About PayU

PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000+ merchants and millions of consumers.

As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day.

Thinking of becoming a PayUneer and you are curious to know more about us? Read more about the life in PayU here

Job Description - ML Engineer

We are seeking a talented ML Engineer to join our Core ML team at PayU. Our mission is to build a cutting-edge machine learning platform that empowers our business to achieve its goals. This role offers an exciting opportunity to work on a diverse range of projects, including the development of foundational ML infrastructure and the exploration of emerging technologies like Generative AI. As an ML Engineer, you will play a pivotal role in building and scaling the platform that underpins PayUs top business initiatives. You'll collaborate closely with data scientists, engineers, and product teams to design, develop, and deploy robust ML solutions.

Responsibilities:

Build and maintain the core ML platform, including data pipelines, feature stores, and model deployment infrastructure.
Develop and implement innovative solutions leveraging the latest ML technologies and frameworks.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Optimize ML models for performance and scalability.
Contribute to open-source ML projects and communities.

Qualifications:

2-3 years of experience in machine learning engineering or a related field.
Strong proficiency in Python, PySpark, Kubernetes, Kafka, and other relevant ML tools and frameworks.
Experience with building and deploying ML models in production environments.
A solid understanding of cloud platforms (AWS) and their ML services.
Passion for solving complex problems and a desire to stay up-to-date with the latest advancements in ML.
Experience with ML Ops practices and tools is a plus.

About the Team:

Our team is at the forefront of ML innovation at PayU. We are a dynamic group of engineers passionate about building scalable and efficient ML solutions. We value collaboration, learning, and a growth mindset.

About us

At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high-growth markets the financial services and products they need to thrive. Our expertise in 18 high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs, to offering credit to underserved individuals, to helping merchants buy, sell and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more www.payu.com

Our Commitment To Building A Diverse And Inclusive Workforce

As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities.

Machine Learning Engineer

Responsibilities:

Qualifications:

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