Machine Learning Engineering Specialist

1 semana atrás

São Paulo, São Paulo, Brasil EBANX Tempo inteiro

About EBANX

EBANX is the leading payment platform connecting global companies with customers from the fastest-growing digital markets in the world. Since the beginning of our journey, we have had one mission: to provide global access for everyone. We believe that transforming challenges into opportunities and making the impossible part of the journey is crucial That's precisely why we created a payment technology that builds bridges between people and businesses every day in 29 rising markets across the globe. We call ourselves ebankers; we are global thinkers, we value diversity, we foster creativity, and we work hard to connect businesses and people worldwide through payments. Let's make history together

Data Scientist Specialist (MLOPs Focus)

As a Data Scientist Specialist focused on MLOPs, your mission will be to build and deploy machine learning models to serve multiple business units of the company.

Responsibilities:
  1. Build and maintain machine learning models relevant to the payments industry (e.g., real-time transactional model, anomaly detection, routing optimization, and churn prediction).
  2. Work closely with devs and core business areas (fraud prevention, finance, commercial, products, and marketing) to define business problems and create solutions leveraging our data.
  3. Propose new projects, gain stakeholder buy-in, calculate business value, be a cooperative team player, and develop strong relationships with colleagues.
  4. Explain and solve complex problems in straightforward terms.
  5. Work directly with the data engineering team to create data pipelines and transformations necessary to be consumed by models.
  6. Conduct ad-hoc exploratory analysis and experiments.
  7. Promote the use of data as the main driver for decision-making.
Main Requirements:
  • Proficient at writing complex codes with languages like Python, Pyspark, and SQL.
  • Relevant work experience with core compute and storage cloud services (preferably AWS).
  • Previous experience designing and building supervised ML models using Random Forests, Boosting, SVM, or deep learning (some experience with at least one of the main libraries/frameworks like XGBoost, Scikit-learn, and Tensorflow).
  • Understand the trade-off and implementation differences between batch vs. streaming.
  • Work with transactional DBs and analytical tools like Redshift, BigQuery, and Athena.
  • Good knowledge of development tools like git, bash, and containers.
Additional Preferred Qualifications:
  • Experience in designing solutions based on AWS services and tools (Lambda, Kinesis Data Stream, Kinesis Data Firehose, S3, Dynamo, OpenSearch, EMR, Sagemaker, ElastiCache), carefully reading the docs, implementing the entire architecture you designed with the support of your peers, and documenting it.
  • Some experience with visualization tools (e.g., Tableau, Qlik, or Looker).
  • Previous experience working in a startup environment.
Benefits at EBANX:
  • Spanish, English, and Portuguese classes
  • Meal Allowance
  • Transportation voucher (if needed)
  • WAVES - Program of goals and results (variable compensation)
  • EBANX Play - Wellness (Gympass, e-Sports, SESC)
  • EBANX Education: financial support for undergraduate, graduate, and MBA programs
  • EBANX Skills: budget for workshops and courses
  • EBANX Flexible: Birthday Day Off
  • Semi-flexible hours (8 hours a day - Monday to Friday)
  • EBANX Family: Daycare assistance, extended leave for caregivers, and support program for children and pregnant women
  • EBANX Health: Health and Dental Insurance, with subsidies
  • Life Insurance: 100% paid by EBANX
  • Blue Club: Exclusive discounts for ebankers

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