Talantix.io
Banco BV•02.03.26
AI SCORE 8.5

Senior Machine Learning Engineer - Remote Opportunity

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

About the Role

We are seeking a Senior Machine Learning Engineer to join our team remotely. As a Senior Machine Learning Engineer, you will play a crucial role in evolving our Machine Learning platform, ensuring that models used across various bank departments operate with high quality, governance, and scalability. Join us in our mission to simplify the financial lives of individuals and businesses.

What You'll Do

  • Enhance our Machine Learning platform by ensuring the operational quality of models across the bank.
  • Critically analyze internal tools and provide consultative improvements.
  • Oversee the observability of ML models, suggesting metrics for more efficient monitoring.
  • Analyze code quality for deployment processes.
  • Serve as a reference point for the platforms used internally.

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.
  • 5+ years of experience in a similar role.
  • Ability to work collaboratively in a diverse and inclusive environment.

Nice to Have

  • Familiarity with cloud platforms such as AWS or Azure.
  • Experience with model deployment and monitoring tools.
  • Knowledge of data governance practices.

What We Offer

  • Competitive salary and benefits package.
  • Remote work flexibility.
  • Opportunities for professional development and growth.
  • A diverse and inclusive work environment.
  • Participation in initiatives that promote equity and representation in the financial market.
Why This Job8.5 of 10

This Senior Machine Learning Engineer role at Banco BV offers a unique opportunity to work remotely while contributing to innovative ML projects in a leading financial institution.

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

Who Will Succeed Here

→

Proficiency in Python and experience with MLOps frameworks such as MLflow or Kubeflow to ensure smooth deployment and monitoring of machine learning models.

→

Strong experience with data engineering tools like Databricks and Spark, enabling efficient data processing and integration within a financial context.

→

A proactive mindset and ability to work independently in a remote setting, demonstrating self-discipline and effective time management to meet project deadlines.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Databrickscourse
→Spark: The Definitive Guidebook

Career Path

Senior Machine Learning Engineer(Now)→Lead Machine Learning Engineer(1-2 years)→Machine Learning Architect(3-5 years)

Market Overview

Market Size 2024
$30B
Annual Growth
22.5%
AI Adoption
85%
Investment
+150%
Labour Demand
+40%
Avg Salary
$150K

Skills & Requirements

Required
PythonMachine LearningMLOps
Growing in Demand
TensorFlowPyTorchKubernetes
Declining
MapReduceHadoop

Domain Trends

Increased Focus on MLOps
Organizations are investing in MLOps practices, with a 60% increase in MLOps adoption since 2022, leading to more streamlined model deployment and monitoring.
Rise of AutoML Tools
AutoML tools are gaining traction, with a 35% increase in usage among data teams, allowing for faster model development and reducing the need for deep technical expertise.
Data Privacy Regulations Impacting AI Development
With 70% of organizations adapting to stricter data privacy regulations, there is a growing demand for machine learning engineers who can navigate compliance while developing AI solutions.

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