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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) Ria Money Transfer is an Equal Employment Opportunity employer. All qualified applicants will be considered for employment regardless of age, national origin, race, color, disability, religion, sexual orientation, gender identity or expression, or any other characteristic protected under applicable law. We celebrate diversity and are committed to creating an inclusive environment for all employees.We are committed to providing reasonable accommodations to qualified individuals with disabilities. If you need assistance or an accommodation due to a disability, you may contact us at hrusa@riamoneytransfer.com. 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.