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Technical Project Manager - Localization projects Remote

Technical Project Manager - Localization projects Description

Seeking a Technical Project Manager with a passion for localization projects. Join our IT team to support product launches, manage project risks, and enhance localization tools. Requires 3 years of localization engineering experience, Python proficiency, and basic AWS, GCP, or Azure knowledge. Apply today and let's revolutionize localization together!

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Project technologies and tools

  • CAT tools
  • Cloud knledge: AWS, GCP or Azure

Responsibilities

  • Support Localization Program Managers in product 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
  • 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

Requirements

  • 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
  • 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
  • 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

We Offer

  • Health Insurance
  • Life Insurance (SVO)
  • Occupational Risk Insurance (ART)
  • Paid Time Off – Vacations. 14 calendar days a year, the number of days will increase by seniority based on local law rules
  • Sick leave
  • Exceptional Leave. Take paid time off for your major life changes (childbirth, marriage, etc.)
  • Compensation of costs for internet, electricity, and personal laptop usage (if applicable)
  • Stable full-time workload
  • Thousands of projects for top brands
  • Stable income
  • Referral Program
  • Certification opportunities
  • Unlimited access to LinkedIn learning solutions
  • Language courses
  • Relocation Assistance Package

Conditions

  • By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy

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