ML & Data Engineer
Skills
About the role
Description
Ria Money Transfer, a business segment of Euronet Worldwide, Inc. (NASDAQ: EEFT), delivers innovative financial services including fast, secure, and affordable global money transfers to millions of customers along with currency exchange, mobile top-up, bill payment and check cashing services, offering a reliable omnichannel experience. With over 600,000 locations in nearly 200 countries and territories, our purpose remains to open ways for a better everyday life.
We believe we can create a world in which people are empowered to build the life they dream of, no matter who they are or where they are. One customer, one family, one community at a time.
ABOUT THIS ROLE
We’re looking for a Machine Learning Engineer with expertise in MLOps, Speech Analytics, and Data Engineering to join our team. In this role, you will design and maintain ML pipelines for real-time and batch workflows, and lead initiatives around automatic transcription and analysis of customer calls, leveraging advanced LLM-based solutions to extract actionable insights and improve customer experience.
ROLES & RESPONSIBILITIES
Build and maintain ML pipelines for real-time and batch processing.
Develop and deploy solutions for automatic transcription of customer calls using speech-to-text technologies.
Create end to end Realtime and batch pipelines from data ingestion to information extraction, to inferences.
Monitor and optimize ML systems for performance and data quality.
Collaborate with stakeholders to define KPIs and deliver insights from call analytics
POSITION REQUIREMENTS
4+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Experience with speech-to-text technologies (AWS Transcribe, Google Speech-to-Text, Whisper).
Strong knowledge of NLP techniques for text analytics (sentiment analysis, topic modeling, entity recognition).
Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS).
Experience with monitoring and observability tools (Grafana, CloudWatch, Datadog).
Excellent problem-solving and communication skills
PREFERRED QUALIFICATIONS
Experience with LLMs for conversational analysis, summarization, and semantic search.
Familiarity with real-time call analytics and voice biometrics.
PERKS & BENEFITS
Medical & Dental Coverage (Co-payment model)
Life Insurance Policy
Daily Food Allowance: R$ 48/day
Commuter Subsidy (only for those who go to the office)
Corporate Phone
Work From Home (WFH)
Language Learning Support
Fitness & Wellness Subsidy (Wellhub/Gympass)
Check out our website to learn more about the company at: http://www.riamoneytransfer.com/
The position responsibilities outlined above are intended to define the general contents and requirements to perform this job. It is not to be taken as a complete statement of responsibilities or requirements. This job description does not restrict the Company’s right to assign or reassign duties and responsibilities to this job as needed.
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