Top Python Jobs in Houston, TX

The Site Reliability Engineer designs and maintains cloud infrastructure at Imubit, optimizing deployment processes, managing incidents, and collaborating with teams to enhance system reliability and performance.

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

The Lead Product Manager will shape strategy and execution for an AI research product, driving key metrics and collaboration with various teams to improve insight delivery and user experience.

The Lead Product Manager will drive the personalization strategy for Scribd's platform, overseeing recommendations, metrics, and algorithm integrations while collaborating with cross-functional teams to enhance user engagement.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

The role involves developing software applications, debugging code, managing projects, and collaborating within a team. Candidates should have a degree in a related field and programming experience.

Develop quantum computing algorithms for multi-phase flow simulation, analyze performance, collaborate with teams, and present findings at conferences.

The Incident Response Consultant will engage in cybersecurity incident response, analyze security incidents, assist with digital forensics, and conduct threat hunting activities.

The GIS Analyst designs and executes solutions using GIS software for spatial analysis, maintains datasets, collaborates with teams, and supports public outreach.

The Rates QA Analyst is responsible for testing rates on personal lines property insurance products, identifying quality issues, and collaborating across teams to improve product knowledge and quality outcomes.

The role involves designing, developing, deploying, and maintaining secure and efficient data platform infrastructure, enabling product teams to manage software delivery. Responsibilities include on-call support, automation, and collaboration with cross-functional teams.

As a Data Analyst for Internal Audits, you'll support audits by creating data visualizations, analyzing data trends, and ensuring compliance with data standards while collaborating with the audit team and providing insights.

As a Data Analyst, support enterprise-wide data initiatives by developing automated data pipelines, designing dashboards, and optimizing SQL queries while ensuring data integrity.

The Data Science Supervisor leads a team of data scientists, developing and deploying machine learning models for various operational domains while staying hands-on with coding and mentoring team members.

Lead a team of data and analytics engineers to build automated data flows and reliable pipelines, enhance data quality, and support BI products. Collaborate on multi-disciplinary projects to improve processes and drive operational outcomes.

The Data Scientist will lead projects using data analytics and machine learning for business solutions in oil and gas, requiring strong collaboration and technical skills.

As an Equity Risk Analyst, you'll analyze risks in equity portfolios, collaborate with investment teams, and develop risk assessment tools.

Coordinate with leadership on project deliverables, develop GIS policies, conduct analysis, and train staff. Ensure quality control on GIS products.

The Solutions Architect leads technical strategies for major accounts, driving the adoption of Databricks and AI. They mentor teams and establish relationships with clients while building technical champions within accounts.

The Principal AI Engineer will design and deliver generative AI solutions, optimize AI systems, and lead best practices in quality and safety within a collaborative environment.

As a Software Test Development Engineer, you will create and maintain automated testing frameworks, conduct integrated testing, and enhance product quality in a robotics environment.

The Data Scientist II will develop and deploy machine learning models, collaborating with cross-functional teams to design AI systems for various content classification challenges using NLP and generative models.

As an Entry Level Data Analyst, you will analyze and visualize data, derive insights, and communicate findings effectively to stakeholders.