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AI/ML Software Engineer - Localization Engineering

@ Techedin

Vancouver, British Columbia

Full-time6+ years experience
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SIGNALS

Overview

Techedin is hiring a Senior AI/ML Software Engineer for localization engineering on a one-year-plus T4 contract in British Columbia, hybrid with 3 days remote. The work covers AI-powered translation, quality estimation, post-editing and backend services for localization workflows. The posting states CAD 65 to 75 per hour and 6+ years of experience.

Responsibilities:

  • Build AI-powered localization workflows with NMT and LLMs
  • Fine-tune transformer models using Hugging Face
  • Develop translation quality estimation and post-editing systems
  • Build scalable backend APIs and microservices
  • Deploy and optimize models on AWS SageMaker and Bedrock

Requirements summary:

  • 6+ years of software engineering experience
  • Strong Python proficiency
  • Hands-on transformer and ML model fine-tuning experience
  • AWS SageMaker or Bedrock experience
  • Experience with Translation Management Systems such as Phrase or Passolo

Tools & skills

Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-12
First seen by our source
2026-11-14
Source record updated
2026-11-14

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Experience6+ years
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high

Summary and details written by AI from the posting; the employer’s posting is the authority.

Techedin

FieldValue
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Job description

Job Title: AI/ML Software Engineer - Localization Engineering

Location: Hybrid (3 days remote), British Columbia, Canada

Experience: 6+ Years

Contract: T4 Contract

Pay Rate: CAD 65 to 75 per hour

Contract Duration: Minimum 1 year and extendable

Role Summary

We are hiring for a Senior Software Engineer - AI Localization & NLP to work on a project focused on intelligent localization systems and AI-powered translation technologies. The selected candidate will build scalable backend solutions, develop and fine-tune transformer-based models, and improve end-to-end localization workflows using modern AI/ML technologies.

Key Responsibilities

  • Design and develop AI-powered localization workflows integrating Neural Machine Translation (NMT) and Large Language Models (LLMs).
  • Build and improve translation quality estimation systems using COMET, BLEURT, and custom LLM-based evaluators.
  • Develop and fine-tune Automated Post-Editing (APE) solutions to improve translation quality, terminology accuracy, and consistency.
  • Fine-tune transformer-based models using Hugging Face and domain-specific translation memory and glossary data.
  • Build scalable backend services, APIs, and microservices to support automated localization workflows.
  • Integrate product systems, Translation Management Systems (TMS), content repositories, and CI/CD pipelines.
  • Develop automation frameworks for content extraction, file processing, translation handoff, validation, and linguistic quality assurance.
  • Optimize model performance, inference latency, and cloud deployment using AWS services such as SageMaker and Bedrock.
  • Build Python pipelines for multilingual data processing, sentence alignment, tokenization, and fuzzy matching.
  • Benchmark translation performance using BLEU, chrF++, TER, COMET, and other NLP evaluation metrics.
  • Collaborate with localization program teams, product engineering teams, and external suppliers to improve localization processes.
  • Contribute to localization engineering standards, shared tools, frameworks, and AI-enabled translation practices.

Must-Have Skills

  • 6+ years of software engineering experience, with significant backend or AI/ML experience.
  • Strong proficiency in Python.
  • Experience working with transformer-based models, including Hugging Face or similar frameworks.
  • Hands-on experience training, fine-tuning, and deploying machine learning models.
  • Experience with AWS services such as SageMaker and Bedrock.
  • Strong experience building APIs, microservices, and system integrations.
  • Strong understanding of end-to-end localization workflows, including extraction, translation, review, quality assurance, and release.
  • Experience working with Translation Management Systems such as Phrase, Passolo, or similar platforms.
  • Experience with SQL/NoSQL databases and cloud-native architectures.

Nice-to-Have Skills

  • Experience implementing reference-free Quality Estimation (QE) systems.
  • Experience developing Automated Post-Editing (APE) solutions.
  • Familiarity with LLM orchestration frameworks such as LangChain.
  • Experience integrating localization workflows into CI/CD pipelines.
  • Knowledge of automated linguistic quality assurance and validation tools.
  • Background in NLP, computational linguistics, or multilingual data engineering.
  • Experience optimizing model inference performance and cost efficiency in production environments.

Interested in This Opportunity?

Interested in this opportunity? Apply now and our recruitment team will review your profile and reach out if it aligns with client requirements.

We value every application and aim to respond to candidates whose experience closely matches the role criteria. Even if you don't hear back this time, we encourage you to stay connected with Techedin for future opportunities.

About Techedin

Techedin is a global IT staffing and technology services firm helping enterprises build high-performance tech teams. We support innovation at scale by connecting skilled professionals to leading companies and impactful projects. We prioritize transparency, responsiveness, and the right fit.

Equal Opportunity Statement

At Techedin, we welcome applicants of all backgrounds, communities, and experiences. Our commitment to diversity, equity, and inclusion drives us to create hiring experiences that are open, fair, and human-first.

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