Staff Machine Learning Engineer

Alldus International Consulting Ltd
New York, NY

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).

53729

Posted 2025-11-27

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