Top Remote Python Jobs in Lexington, KY

The Staff AI Full-Stack Engineer will drive the full product development lifecycle for AI-powered solutions, leveraging technologies like LLMs and AI/ML to enhance efficiency. Responsibilities include collaborating with stakeholders, prototyping solutions, and aligning AI strategy with company vision.

As a Senior Site Reliability Engineer at JFrog, you'll advocate for best practices in cloud reliability, define operational transformation strategies, support JFrog Cloud Platform operations, and maintain system performance. You'll develop automated solutions, analyze system metrics, and collaborate with engineering teams to enhance system resilience.

As a Senior SDET, you'll improve the quality of Spokeo's data by creating detailed test plans, designing automated tests, and collaborating with the Data Engineering team on test strategies. You'll utilize tools such as Airflow, Spark, and AWS, manage defect lifecycles, and ensure the correct implementation of business logic in data pipelines.

As a Solution Architect, you will design, develop, and implement scalable solutions using Salesforce technologies, ensuring high-quality service delivery aligned with client business requirements while addressing potential technical issues proactively.

As the Data Engineering Team Lead, you will lead a small team to design and maintain scalable data pipelines, manage project resources, support team members, and ensure high-quality software delivery. You'll also lead design implementations and monitor data ingestion processes while fostering a culture of innovation.

As VP, Engineering, you will lead Arcadia’s Energy Data Platform engineering team, ensuring effective product delivery, modernizing architecture, and implementing AI across offerings while mentoring engineering leads and cultivating a strong engineering culture. You will drive the transformation of engineering organizations in a fast-growth B2B setting, collaborating with executive leaders and managing a large, cohesive team focused on digital solutions for the clean energy sector.

The Senior Machine Learning Engineer will build and deploy machine learning models to enhance Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop production-grade code, design experiments, and collaborate with the Operations Team.