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Descripción de la vacante
A leading financial technology company in Brazil is seeking an experienced software engineer to enhance their machine learning platform. You will build, maintain, and optimize applications while mentoring junior engineers. The role demands over 6 years of software engineering experience, particularly with machine learning technologies. The ideal candidate should be proficient in Python and Kotlin, with a strong commitment to delivering high-quality software. This opportunity offers a competitive compensation package and flexible remote work arrangements.
Servicios
Competitive compensation package
Comprehensive medical, dental, and vision coverage
401(k) with company match
Generous paid time off
Flexible remote work opportunities
Supportive company culture
Formación
6+ years of software engineering experience, particularly with in-house Machine Learning Platforms.
Experience in building and maintaining backend software services and APIs.
Proficiency in technologies such as Python, Kotlin, Databricks, and AWS.
Responsabilidades
Build, maintain, and optimize the machine learning and simulation platform.
Develop high-quality software applications for machine learning model deployment.
Modernize serving infrastructure to reduce inference latency.
Conocimientos
Software engineering experience
Machine Learning Platforms
Backend software services
Python
Kotlin
Databricks
AWS
Mentoring
Herramientas
Flask
FastAPI
MLflow
Descripción del empleo
Employer Industry: AI Lending Marketplace
Why consider this job opportunity:
Competitive compensation package including base salary, bonuses, and equity
Comprehensive medical, dental, and vision coverage with Health Savings Account contributions
401(k) with 100% company match up to $4,500 and immediate vesting
Generous paid time off including holidays, vacation, and sick leave
Flexible remote work opportunities with team collaboration sessions
Supportive company culture with various employee resource groups and social activities
What to Expect (Job Responsibilities):
Build, maintain, and optimize the machine learning and simulation platform to enhance scale and performance
Develop high-quality software applications for machine learning model deployment and automation
Modernize serving infrastructure to reduce inference latency for complex models
Design simulation systems that accurately reflect production environments for broader team usage
Mentor and guide fellow engineers on distributed systems and scalable architecture
What is Required (Qualifications):
6+ years of software engineering experience, particularly with in-house Machine Learning Platforms
Experience in building and maintaining backend software services and APIs
Proficiency in technologies such as Python, Kotlin, Databricks, and AWS
Strong ability to comprehend and communicate complex requirements to various stakeholders
Proven track record of mentoring and developing engineering talent
How to Stand Out (Preferred Qualifications):
Familiarity with model serving technologies and simulation platforms
Proficiency with frameworks such as Flask, FastAPI, and MLflow
Excellent quantitative reasoning skills with an interest in the intersection of engineering and machine learning
Strong sense of ownership and accountability for delivering high-quality work
Ability to thrive in both self-directed and collaborative work environments
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* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.