Talantix.io
Banco BV•16.02.26
AI SCORE 8.5

Senior Machine Learning Engineer - Remote

$120K–$150K/year
RemoteFinTech
Python•Machine Learning•MLOps•Data Engineering•Databricks•Spark

About the Role

We are looking for a Senior Machine Learning Engineer - Remote to join our team at Banco BV, one of the largest private banks in Brazil. Recognized as the best financial institution to work for in Brazil according to the GPTW 2025 ranking, we pride ourselves on our commitment to diversity and inclusion. Our culture values simplicity, integrity, partnership, and courage, making it a great place for innovation and collaboration.

What You'll Do

  • Lead the evolution of our Machine Learning platform, ensuring high quality, governance, and scalability of models used across various bank areas.
  • Critically analyze internal tools and provide consultative improvements.
  • Oversee the observability of ML models, suggesting metrics for more efficient monitoring.
  • Review code quality for deployments and act as a reference point for internal platforms.
  • Collaborate with cross-functional teams to enhance the performance and reliability of machine learning solutions.

Requirements

  • Solid experience in ML engineering, MLOps, or Data Engineering applied to production models.
  • Strong proficiency in Python and ML/data science libraries.
  • Experience with distributed platforms, preferably Databricks/Spark.
  • Ability to work in a remote environment and contribute to a diverse team.
  • Passion for continuous learning and improvement in machine learning practices.

Nice to Have

  • Experience in financial services or banking.
  • Knowledge of cloud platforms (AWS, Azure, GCP).
  • Familiarity with data governance and compliance standards.

What We Offer

  • Competitive salary range of $120,000 - $150,000 per year.
  • Remote work flexibility with a focus on work-life balance.
  • Opportunities for professional development and continuous learning.
  • A diverse and inclusive workplace that values your unique perspective.
  • Health and wellness benefits to support your well-being.
Language Requirements
EnglishC1
PortugueseC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Machine Learning Engineer role at Banco BV offers a competitive salary, remote work flexibility, and a commitment to diversity and inclusion.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python and experienced with libraries such as TensorFlow or PyTorch, demonstrating the ability to build and deploy machine learning models effectively.

→

Strong understanding of MLOps practices, including CI/CD pipelines for machine learning, and experience with tools like Databricks and Apache Spark to manage data workflows in a remote environment.

→

Demonstrated experience in data engineering, capable of designing and optimizing data pipelines to support model training and inference, with a mindset focused on scalability and performance.

Learning Resources

→Machine Learning with Python: From Linear Models to Deep Learningcourse
→Databricks Documentationguide
→Apache Spark: The Definitive Guidebook

Career Path

Senior Machine Learning Engineer - Remote(Now)→Lead Data Scientist or MLOps Engineer(1-2 years)→Director of Machine Learning or Chief Data Officer(3-5 years)

Market Overview

Market Size 2024
$45.2B
Annual Growth
22.5%
AI Adoption
60%
Investment
+150%
Labour Demand
+35%
Avg Salary
$145K

Skills & Requirements

Required
PythonMachine LearningMLOps
Growing in Demand
TensorFlowKubernetesApache Airflow
Declining
RHadoop

Domain Trends

Increased Focus on MLOps
Organizations are investing heavily in MLOps to streamline the deployment and monitoring of machine learning models, with a projected growth in MLOps market size to $6.9B by 2025.
Rise of AutoML Tools
The adoption of automated machine learning tools is increasing, with a growth rate of 30% annually, allowing non-experts to leverage ML capabilities.
Integration of AI with Big Data
Over 70% of enterprises are integrating AI with big data technologies to enhance analytics capabilities, leading to better decision-making and operational efficiency.

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