AI Production Engineers are technically skilled individuals with a commitment to troubleshoot and create solutions for technical production issues within DataForce data services projects including: script development for data manipulation and defining strategies for project executions.The successful candidate is a team player who thrives in a fast-paced work environment, working alongside our Solutions Engineers and Technology Project Managers to develop creative solutions for handling complicated workflows and project executions. They are self-motivated to learn and become an expert in data services and our company’s technology products.Role ResponsibilitiesProvide daily, project-based technical support to production and sales departmentsFacilitate company-wide technology rolloutsAssist project managers and external contributors in troubleshooting issues related to the project processesImplement automation for asset pre- and post-processing to enhance efficiencyDevelop scripts and/or macros in various programming languages to automate repetitive tasks performed by project managers, optimizing workflowGenerate various file types as per project requirements, including re-coding and script writing as necessary, ensuring compliance with client specifications and data integrityValidate new features in our DataForce technology productsWork closely with Software Product Managers to report and test fixes for bugs found by product usersAutomate asset pre- and post-processing tasks through scripting and macro writing in various programming languagesRole Requirements – Knowledge, Skills and AbilitiesBusiness English language proficiencyScripting knowledge in Python, Java or VBHigh level of proficiency in Microsoft Office (Word, Excel, PowerPoint), Adobe softwareHigh level of proficiency in Windows platformStrong analytical, problem-solving and reasoning skillsAbility to identify problems, propose solutions, and make effective decisionsExceptional communication skills with the ability to communicate important project updates both verbally and in writingAdaptability to new challenges and continuous learningHigh-level scripting and programming abilitiesCapability to visualize and present different types of dataRole Requirements – Education and/or ExperienceMinimum Bachelor’s degree or its equivalent2 – 3 years of experience in a similar roleExperience with REST APIsExperience meeting project deliverable dates on tight schedules and within a defined scopeExperience with Mac and Windows platforms (no certifications needed)Experience with API/commands of storage cloud services (like AWS S3, Google Cloud, MS Azure, FTP, Box, etc.)Experience working in a multinational/multicultural virtual working environmentExperience working in a cross-functional/matrix organizationPreferred Role RequirementsProficiency in Linux systemsKnowledge of JSON and XML are highly desiredExperience creating schemas in JSONKnowledge of regular expressions within programming tasksExperience as Project Lead on a notable and/or innovative industry specific developmentWho we areDataForce is a worldwide data collection and labeling platform that combines technology with a diverse network of more than one million data contributors, scientists, and engineers. DataForce offers companies in technology, automotive, life sciences, and other industries secure and reliable AI services for exceptional structured data and customer experiences.DataForce is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business with offices in more than 100 cities worldwide.For more information about us, please visit our website: https://www.transperfect.com/dataforceTransPerfect provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law.Seniority levelAssociateEmployment typeFull-timeJob functionProduction, Other, and Information TechnologyIndustriesData Infrastructure and Analytics and Technology, Information and Media #J-18808-Ljbffr