Top Python Jobs

The Associate Principal Engineer in QA Automation is responsible for manual and automated testing, leveraging extensive experience in various scripting languages and automation tools. They will develop test strategies and plans, using modern tools within agile methodologies to ensure high-quality software delivery.

As an MES Engineer, you will manage and enhance MES applications and hardware, resolve daily MES issues, integrate MES with other data systems, develop reports, and support continuous improvement initiatives while collaborating with cross-functional teams. Your role includes software code optimization and providing technical assistance for smooth operations.

As an Ignition Developer, you will manage MES applications, support integration with ERP systems, collaborate with cross-functional teams, and optimize existing software. Responsibilities include designing solutions, developing reports, providing technical assistance, and supporting continuous improvement initiatives.

The role involves collaboration with algorithm engineers to develop models and integrate controller models into vehicle systems, test diagnostics, and build HIL environments. Responsibilities also include simulation testing, automation, and assessing sensor performance within vehicle dynamics.

The Senior Algorithms Engineer will develop state estimation and control algorithms for luxury electric vehicles, focusing on range estimation, energy optimization, and intelligent navigation. Responsibilities include collaborating with cross-functional teams, prototyping algorithms in MATLAB/Simulink/Python, and implementing them on embedded processors while ensuring quality through MIL and vehicle tests.

As a Senior Machine Learning Engineer at the Wikimedia Foundation, you'll plan, develop, train, document, deploy, and manage production machine learning models. You'll collaborate with internal and external customers to build and maintain scaled models, assess needs, gather training data, and ensure ongoing monitoring and improvement of the models.

The Senior Machine Learning Engineer will develop, train, document, and manage machine learning models, collaborating with product teams and the community to enhance Wikipedia and similar projects. Key responsibilities include assessing customer needs, scoping tools, gathering training data, deploying models, and monitoring their performance over time.

As a Senior Machine Learning Engineer, you will develop, train, document, deploy, and manage production machine learning models. You will collaborate with internal and external customers to build scalable models and support other teams in the Foundation while ensuring the effectiveness of machine learning solutions.

The Senior Machine Learning Engineer will develop, train, document, deploy, and manage production machine learning models for the Wikimedia Foundation. The role involves collaboration with internal teams and the broader community to assess needs and implement scalable machine learning solutions, particularly in NLP tasks while working in a remote environment.

The Senior Machine Learning Engineer will develop, deploy, and manage production machine learning models, collaborating with internal and external customers and teams. Responsibilities include training models, monitoring their performance, and providing insights to improve projects like Wikipedia.

The Senior Machine Learning Engineer will plan, develop, train, document, deploy, and manage machine learning models, collaborating with internal and external teams to meet project needs and monitor model performance over time.

Responsible for planning, developing, training, documenting, deploying, and managing production machine learning models, while collaborating with internal and external customers to assess needs and gather training data.

The Sr IT Cloud Engineer installs and maintains applications and systems in both on-premises and cloud environments. They analyze business requirements, deploy web-based applications, and ensure security standards are met. They monitor system performance, stay updated on cloud technologies, and have hands-on experience with Azure resources. The role includes mentoring and requires strong troubleshooting, programming, and analytic skills, as well as experience with Atlassian tools and UNIX environment scripting.

As a Senior Software Development Engineer in the Data Platform team, you will design and build efficient data transformations and scalable big data systems, establish best engineering practices, and collaborate with both technical and non-technical stakeholders to support the company's core products.

The GTM Systems Architect will enhance Fivetran's Salesforce CRM, implementing and evolving solutions for systems integration, mentoring team members, and driving strategic initiatives across the organization to improve efficiency. They will collaborate with various stakeholders to ensure Salesforce serves as the source of truth and manage complex technical challenges while promoting governance and compliance.

As a Digital Verification Engineer, you will ensure a reusable and scalable verification environment for semiconductor IP solutions. Responsibilities include creating and executing test plans, developing firmware tests, supporting silicon characterization, and driving automation within the verification process. You will leverage your experience in verification methodologies and high-speed interface IP to contribute to timely project delivery and quality assurance.

As a Back End Software Engineer, you will design, develop, test, and deploy scalable software solutions while collaborating with cross-functional teams. You will be part of a talented team responsible for the full software development life cycle, working primarily with Python, JavaScript, and various AWS services.