Personalization ML/AI Engineer - Recommender Systems

Finalytics AI; United States; Hybrid; USD 120,000 - 190,000; Full time

Job summary

Finalytics AI in the United States is seeking a hands-on ML/AI Engineer to build and productionize recommender models that predict product affinity, buying intent, and user segmentation within our SaaS personalization platform. Hybrid or remote work options are available.

You will architect data pipelines, integrate diverse data sources, and partner with engineering and product teams to deploy models in real-time, while iterating with hypothesis-driven experiments to improve performance.

Qualifications

• Proven ML expertise in building recommender systems.
• Experience creating multiple models such as Collaborative Filtering, XGBoost, K-Means, and predictive modeling.
• Platform development: integrating predictive models into live SaaS environments.
• Programming in Python, SQL, Java, or R and data engineering skills.
• Experience with TensorFlow, PyTorch, JAX, and Jupyter Notebooks.

Responsibilities

• Architect Complex Data Pipelines: Integrate disparate datasets including advertising metrics, web analytics (GA4/Adobe), digital banking transactions, and third-party sources (Census, Credit Bureau).
• Build & Deploy Advanced Models: Design, train, and deploy recommender models that predict product affinity, buying intent, and user segmentation as well as learner models that understand how people and business research financial products.
• Optimize & Experiment: Test models against historic data and experiment with combinations of algorithms to continually optimize for best results.
• Cross-Functional Collaboration: Partner with engineering and product teams to integrate models into our SaaS platform, ensuring seamless real-time personalization.
• Hypothesis-Driven Development: Analyze model performance in the wild and develop data-driven hypotheses for iterative algorithmic improvement.

Skills

Recommender systems

Collaborative Filtering

Matrix Factorization

Reinforcement Learning

Python

SQL

Java

R

TensorFlow

PyTorch

JAX

Jupyter

R-Studio

Education

Bachelor's degree in Statistics, Analytics, Mathematics, Computer Science, Information Technology or related field

Tools

TensorFlow

PyTorch

JAX

Jupyter Notebooks

R-Studio

Job description

Finalytics AI in the United States is seeking a hands-on ML/AI Engineer to build and productionize recommender models that predict product affinity, buying intent, and user segmentation within our SaaS personalization platform. Hybrid or remote work options are available.

You will architect data pipelines, integrate diverse data sources, and partner with engineering and product teams to deploy models in real-time, while iterating with hypothesis-driven experiments to improve performance.