RLink Solutions · 1 day ago
Localization Engineer
United States
Contract
Remote
Mid Level
3+ years expRLink Solutions is seeking an experienced Localization Engineer to join their Localization team, which is focused on addressing Uber's expanding localization requirements. The role involves collaborating with Localization Program Managers and Operations to prepare projects for localization, as well as managing LLMOps for scalable solutions and model fine-tuning.
Information Technology & Services
Hiring Manager
Shreya Gupta
Responsibilities
Handle and extract localization file for preparation for translation and re-integration for delivery
Handle adhoc tasks around scripting, template setup, workflow configurations and/or develop automation for repetitive tasks and streamline the localization process
OCR, SRT creation, Captioning, Video and Multimedia eLearning projects
Support Localization Program Managers in Uber launches
Work with LPgMs to ensure Localization schedules remain on track
Identify and manage project risks and communicate project status including metrics
Frequent sync-up with Localization Program Manager for daily/weekly tasks
Work on miscellaneous team projects & initiatives as needed by LocOps & leads
Proactively developing solutions for improving Localization tools and/or process gaps for either Localization Program Managers, or for their stakeholders
Manage and maintain localization assets such as translation memories (TM), glossaries and style guides
Provide technical support to translators and LPgMs regarding localization tools and processes
Selecting LLM based on the requirements and use-case and performing fine-tuning models, adjusting hyperparameters, and implementing strategies to reduce latency, loss, and resource consumption
Design and implement scalable solutions for LLM deployment to handle varying workloads, requirements from internal and external clients, and provide high availability
Collaboration: Work closely with data scientists, internal LLMOps, and other stakeholders or UberAI teams to understand the setup, build requirements and deliver optimal LLM solutions
Qualification
Required
BA/BS degree or equivalent practical experience
Minimum of 3 years of localization engineering experience in the high-tech industry, either on the client or vendor side
At least 1 year of experience in machine learning and/or proficiency in programming languages such as Python, with hands-on experience in relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers)
Basic knowledge of AWS, GCP, or Azure
Familiarity with technologies such as Docker, Kubernetes, and Jupyter Notebook
Understanding of scripts such as Python, Perl, or JavaScript
Expertise in using CAT tools and setting up localization pipelines & workflows (e.g., Phrase/Memsource, Smartling, Trados)
Experience working with audio and multimedia projects and setting up localization/delivery processes
Managing post-delivery automation tasks as needed (file counts, naming conventions, encoding, etc.)
Experience using tools such as JIRA and Phabricator
Experience in coordinating the localization of various content types, including UI, Help Center, Marketing, and Legal
Managing and running linguistic QA processes, identifying issues/gaps, and ensuring high-quality deliverables
Very detail-oriented and quality-focused, with a proactive approach to identifying issues
Excellent written and verbal communication skills
Ability to manage multiple projects and localization quality assurance (LQA) tasks simultaneously
Excellent team player with the ability to manage operations at scale
Capable of managing technical processes and advising on best practices for internationalization (i18n) and localization (l10n) QA/testing
Ability to learn new tools and systems quickly
Committed to excellence and helping set the direction of the Uber brand
Passionate about Uber and our mission
Company
RLink Solutions
Empowering Businesses Through Tailored IT Consulting | Experts in Digital Transformation, Cloud Computing, ERP Solutions & AI-Driven Innovation.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase