Senior Machine Learning Engineer

Nium, the Leader in Real-Time Global Payments 

Nium, the global leader in real-time, cross-border payments, was founded on the mission to deliver the global payments infrastructure of tomorrow, today. With the onset of the global economy, its payments infrastructure is shaping how banks, fintechs, and businesses everywhere collect, convert, and disburse funds instantly across borders.  

Its payout network supports 100 currencies and spans 220+ markets, 100 of which in real-time. Funds can be disbursed to accounts, wallets, and cards and collected locally in 35 markets. Nium's growing card issuance business is already available in 34 countries. Nium holds regulatory licenses and authorizations in more than 40 countries, enabling seamless onboarding, rapid integration, and compliance – independent of geography. The company is co-headquartered in San Francisco and Singapore. 

About the Role:

As a Data and machine learning Engineer at Nium, you will play a crucial role in designing, building, and scaling our cutting-edge data infrastructure while also applying your quantitative acumen in data modeling. You will design, build, and optimize machine learning models that enhance our products and improve customer experiences. You will work closely with product managers and other engineering teams to develop innovative solutions that drive business insights and empower data-driven decision-making. Your unique combination of technical, analytical and machine learning skills will be invaluable as we continue to expand our global reach and refine our services

Key Responsibilities:

• Design and implement scalable, maintainable, and high-performance data pipelines to process large volumes of structured and unstructured data.
• Develop and maintain ETL processes, ensuring data accuracy, completeness, and timeliness.
• Develop and deploy machine learning models and algorithms to solve complex problems, ensuring scalability and performance. Conduct model evaluation, validation, and tuning to ensure high accuracy and robustness.
• Maintain documentation for models, processes, and methodologies, and debug issues related to machine learning pipelines.
• Drive the adoption of advanced analytics and machine learning capabilities across the organization.
• Implement and enforce data governance policies and best practices to ensure data quality and security

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science or a related field
• 3-5 years of experience in a similar role. - Strong programming skills in Python or Java
• Expertise in datalake, datawarehouse, big data technologies such as Snowflake, redshift, Spark, Kafka, Flink.
• Strong fundamentals of machine learning algorithms (e.g., regression, classification, clustering, neural networks).
• Experience with machine learning frameworks and libraries such as Scikit-learn and TensorFlow
• Familiarity with data preprocessing techniques, feature engineering, and data visualisation tools.
• Strong problem-solving skills, ability to work independently and as part of a team, and excellent communication skills to convey technical concepts to non-technical stakeholders.

What we offer at Nium  

We Value Performance: Through competitive salaries, performance bonuses, sales commissions, equity for specific roles and recognition programs, we ensure that all our employees are well rewarded and incentivized for their hard work. 

We Care for Our Employees: The wellness of Nium’ers is our #1 priority. We offer medical coverage along with 24/7 employee assistance program, generous vacation programs including our year-end shut down. We also provide a flexible working hybrid working environment (3 days per week in the office). 

We Upskill Ourselves: We are curious, and always want to learn more with a focus on upskilling ourselves. We provide role-specific training, internal workshops, and a learning stipend

We Constantly Innovate: Since our inception, Nium has received constant recognition and awards for how we approach both our business and talent opportunities.

-2022 Great Place To Work Certification

-2023 CB Insights Fintech 100 List of Most Promising Fintech Companies. 

- CNBC World’s Top Fintech Companies 2024.

We Celebrate Together: We recognize that work is also about creating great relationships with each other. We celebrate together with company-wide social events, team bonding activities, happy hours, team offsites, and much more!  

We Thrive with Diversity: Nium is truly a global company, with more than 33 nationalities, based in 18+ countries and more than 10 office locations. As an equal opportunity employer, we are committed to providing a safe and welcoming environment for everyone.  

For more detailed region specific benefits :  https://www.nium.com/careers#careers-perks 

For more information visit www.nium.com 

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job candidates. Please review our Candidate Privacy Notice for more information. 

Candidate Privacy Notice: https://www.nium.com/privacy/candidate-privacy-notice