Staff Machine Learning Engineer - Alldus International Consulting : Job Details

Staff Machine Learning Engineer

Alldus International Consulting

Job Location : New York,NY, USA

Posted on : 2025-09-15T15:06:29Z

Job Description :
Overview

Our client, an exciting Series B FinTech Startup, is hiring a Staff Machine Learning Engineer to join the team remotely. The successful candidate will design and deploy advanced machine learning models to help build interpretable, high-performing and scalable solutions leveraging data from AWS and Snowflake environments to drive impactful, data-informed decisions.

Responsibilities
  • Designing, developing and deploying machine learning models to support predictive analytics across key fintech applications.
  • Collaborating closely with cross-functional teams, including Data, Engineering and Product, to deliver integrated, data-driven solutions.
  • Ensuring high model performance and reliability through robust data pipelines and scalable infrastructure.
  • Converting model outputs into actionable insights that drive business strategy and financial inclusion outcomes.
  • Mentoring and supporting fellow team members to promote a culture of technical excellence and collaboration.
  • Championing best practices in MLOps, data governance and regulatory compliance across the ML lifecycle.
Skillset
  • PhD or Master's degree in Computer Science, Mathematics, Statistics or similar.
  • 10+ years of relevant experience in applying AI/ML techniques within the financial services or fintech sectors.
  • Extensive experience developing and deploying machine learning models for tasks such as classification, regression and forecasting.
  • Strong programming proficiency in Python and SQL.
  • Hands-on experience with AWS, particularly SageMaker and Bedrock, for model training, deployment and fine-tuning.
  • Familiarity with model lifecycle tools like MLflow, SageMaker Model Registry or similar platforms.
  • Practical experience using PyTorch, Scikit-learn and Generative AI models.
  • Knowledge of Large Language Models (LLMs) and frameworks such as Hugging Face, LangChain or Mirascope.
  • Solid understanding of cloud-based data architecture, including Snowflake, Amazon S3 and PostgreSQL.
  • Background working in FinTech, PropTech or startup environments is a bonus.
Benefits
  • Salary: $200,000 - $235,000.
  • Equity.
  • Remote working.
  • Comprehensive health, dental, and vision insurance.
  • 401(k).
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