Senior Software Engineer - AI Localization & NLP
- Vancouver, BC, Canada
$65 to $75 CAD / hour · Full-time
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Job details
- Pay
- $65 to $75 CAD / hour
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Job Title: Senior Software Engineer - AI Localization & NLP
Location: Hybrid (3 days remote), Vancouver, BC, Canada
Experience: 6+ Years
Contract T4 Contract
Pay Rate: CAD 65 to 75 per hour
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
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.
Location: Hybrid (3 days remote), Vancouver, BC, Canada
Experience: 6+ Years
Contract T4 Contract
Pay Rate: CAD 65 to 75 per hour
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.
- 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.
- 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.
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.
More about this job
Responsibilities
Design and build AI-powered localization workflows, including neural machine translation, LLM integration, translation quality estimation, and automated post-editing. Develop scalable backend services and multilingual data pipelines, integrate localization systems with product platforms and CI/CD, and optimize model performance and cloud deployment.
Requirements
Requires 6+ years of software engineering experience, strong Python skills, and hands-on experience training, fine-tuning, and deploying transformer-based models using Hugging Face or similar frameworks. Candidates should also have AWS SageMaker or Bedrock experience, backend API and microservices expertise, and knowledge of localization workflows, TMS platforms, databases, and cloud-native architectures.
Skills
- Python
- Transformer-Based Models
- Hugging Face
- Machine Learning Model Training and Deployment
- AWS SageMaker
- AWS Bedrock
- Backend Development
- APIs and Microservices
- Localization Workflows
- Neural Machine Translation
- Large Language Models
- Translation Quality Estimation
- Automated Post-Editing
- SQL and NoSQL Databases
- CI/CD Pipelines
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Data & Analytics
Keywords
- Python
- Hugging Face
- Transformer-Based Models
- Neural Machine Translation
- Large Language Models
- COMET
- BLEURT
- Automated Post-Editing
- AWS SageMaker
- AWS Bedrock
- APIs
- Microservices
- Phrase
- Passolo
- CI/CD
- SQL
- NoSQL
- Cloud-Native Architecture
- LangChain
- BLEU
- chrF++
- TER
- Sentence Alignment
- Tokenization
- Fuzzy Matching
- Multilingual Data Processing
- Localization Engineering
- Linguistic Quality Assurance