Open to opportunities

Jaren Cole

@jarencole

Message

Senior AI/ML Engineer with 10+ years building scalable end-to-end ML pipelines.

United States

Message

What I'm looking for

I’m looking for a cloud-first team where I can lead end-to-end AI/ML and MLOps—building scalable pipelines, deploying reliable models, and mentoring engineers—using NLP and generative AI to deliver measurable business impact.

I’m a Senior AI/ML Engineer with 10+ years of experience building and scaling machine learning solutions across enterprise environments. I specialize in designing end-to-end ML pipelines—from data ingestion and feature engineering to model deployment and monitoring—grounded in deep learning, NLP, and generative AI, including large language models.

In my current role at Clover Solution, I lead the design and development of scalable, cloud-native AI/ML solutions, architecting ML pipelines and establishing engineering standards, governance, and best practices across teams. Previously, at Velocity Data Solutions and Summit Innovations, I built recommendation and fraud detection systems, automated model training and deployment workflows with Python and Airflow, and delivered production-ready solutions through large-scale preprocessing and feature engineering. I bring strong cloud-native MLOps experience across AWS, Azure, and GCP, and I enjoy mentoring engineers while driving production-grade reliability through monitoring, drift detection, and scalable system design.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Clover Solution

Jul 2023 - Present (2 years 11 months)

Led the design and development of scalable, cloud-native AI/ML solutions by building end-to-end ML pipelines from ingestion and training through deployment and monitoring. Established ML engineering standards and mentored engineers while integrating models into microservices-based production environments.

MLOps Microservices CI CD For ML Docker Kubernetes Terraform

AI/ML Engineer

Velocity Data Solutions

Jan 2021 - Jun 2023 (2 years 5 months)

Designed and implemented scalable ML pipelines for structured and unstructured data, including recommendation systems to improve user engagement and conversion. Built fraud detection models and automated model training and deployment workflows using Python and Airflow.

Machine Learning Pipelines Recommendation Systems Fraud Detection Supervised Learning Python Airflow Feature Engineering data preprocessing

Machine Learning Engineer

Summit Innovations

Aug 2018 - Dec 2021 (3 years 4 months)

Built and deployed machine learning pipelines for structured and unstructured data, including recommendation systems for improved user engagement and conversion. Developed supervised fraud detection models and automated Python/Airflow model training workflows with large-scale data preprocessing and feature extraction.

Machine Learning Pipelines Recommendation Systems Fraud Detection Supervised Learning Python Airflow Feature Engineering data preprocessing data transformation

AI/ML Engineer

Core Data Systems

Mar 2016 - Jul 2018 (2 years 4 months)

Developed foundational ML models for classification and regression and supported exploratory data analysis and data preprocessing. Implemented basic NLP pipelines and assisted with deploying models to staging while helping with evaluation and tuning.

Classification & Regression data preprocessing Model Evaluation & Model Tuning Python