Awarri Logo

Awarri

Senior AI Engineer (WAT Remote)

Reposted 15 Days Ago
In-Office or Remote
Hiring Remotely in Canada
Mid level
In-Office or Remote
Hiring Remotely in Canada
Mid level
The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.
The summary above was generated by AI

At Awarri, our mission is to enable the development and adoption of frontier technology on the African continent, starting in Nigeria, by building lasting technology solutions and creating a brighter future using the power of AI.

We are achieving that mission through the development of Language Models designed to represent and empower African languages and contexts. Join our team of AI innovators as we shape the future of natural language processing (NLP) in Africa, focusing on cultural preservation, linguistic diversity, and cutting-edge generative AI solutions.

Why Join Awarri?

  • Be part of a pioneering initiative to shape the future of AI in Africa.
  • Collaborate with a passionate and diverse team of engineers, researchers, and innovators.
  • Contribute to projects with real-world impact, driving inclusivity and representation in AI.


Senior AI/ML Engineer

The Senior AI/ML Engineer will play a central role in the design, development, and deployment of language models tailored to low-resource languages and diverse cultural contexts. They will collaborate with interdisciplinary teams to advance Awarri's mission of creating contextually aware and impactful AI solutions.

Responsible for

  • Lead the design, training, and optimization of large-scale language models for African languages and dialects, ensuring accuracy and contextual relevance.
  • Develop innovative solutions for data pre-processing, tokenization, and embedding, specifically for low-resource and multilingual datasets.
  • Implement and fine-tune transformer-based architectures (e.g., GPT, BERT) for specific NLP applications like text generation, translation, and sentiment analysis.
  • Design scalable pipelines for data collection, annotation, and pre-processing to support model development.
  • Collaborate with linguists, cultural experts, and AI researchers to ensure the LLM aligns with diverse user needs and cultural sensitivities.
  • Deploy, monitor, and maintain production-level LLM systems in cloud-based environments, ensuring robust performance and reliability.
  • Establish frameworks for model evaluation, leveraging metrics such as perplexity, BLEU, and human-centered benchmarks.
  • Stay at the forefront of advancements in NLP, LLMs, and generative AI, integrating emerging research into Awarri's language model development efforts.
  • Document processes, architectures, and outcomes for knowledge sharing and collaboration across teams.
  • Technical Proficiency:

Requirements

  • Minimum of 3 years in AI/ML engineering, with a focus on NLP and large language models.
    • Strong expertise in transformer-based models such as GPT, BERT, T5, or equivalent.
    • Proficiency with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
    • Experience in training and fine-tuning LLMs on large-scale, multilingual datasets.
    • Strong programming skills, with expertise in NLP libraries and tools.
  • Data and Cloud Expertise:
    • Experience in building pipelines for text data collection, pre-processing, and annotation.
    • Familiarity with cloud platforms like AWS, Azure, or GCP for deploying scalable NLP solutions.
  • Innovation & Collaboration: Demonstrated ability to work on open-ended research problems and collaborate with interdisciplinary teams, including linguists and cultural experts.
  • Impact: A proven track record of developing and deploying NLP systems that deliver measurable value in production.

Preferred Skills

  • Experience working with low-resource languages or multilingual NLP.
  • Knowledge of cultural and linguistic nuances in African contexts.
  • Familiarity with ethical AI principles, particularly for language technologies.

Similar Jobs

Yesterday
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Conduct advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Identify and exploit novel, systemic, and chained vulnerabilities; develop proof-of-concept exploits, testing methodologies, and research automation; assess AI attack vectors and open-source dependencies; drive remediation and security improvements; advise engineering teams, contribute to roadmaps, mentor researchers, and share findings with the security community.
Top Skills: Duo Agent PlatformGitlabGitlab DuoGoPythonRubyRustTypescript
Yesterday
Easy Apply
Remote
Canada
Easy Apply
Expert/Leader
Expert/Leader
Cloud • Security • Software • Cybersecurity • Automation
Conducts advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Responsibilities include discovering and exploiting systemic vulnerabilities, penetration testing, developing proof-of-concept exploits, researching AI and agentic security threats, building automated research tooling, coordinating remediation, mentoring security professionals, and communicating findings to engineering and security communities.
Top Skills: Ai FrameworksDevsecopsDuo Agent PlatformGitlabGitlab Duo ChatGoPythonRubyRustTypescript
Yesterday
Remote or Hybrid
Canada
Senior level
Senior level
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Design and coordinate electrical systems for commercial, industrial, laboratory, and technical facilities from concept through construction. Lead Revit/BIM-based design, coordinate external engineering firms and vendors, review documentation, support budgeting and commissioning, and maintain design intent. Provide expertise in power distribution, lighting, low-voltage systems, equipment integration, safety compliance, facility troubleshooting, and energy-efficient building systems.
Top Skills: AutocadBimBluebeamBuilding Automation Systems (Bas)Electrical EquipmentFire Alarm SystemsHvac ControlsLighting SystemsLow-Voltage SystemsMs ProjectNecNfpaOshaPower Distribution SystemsRevit

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account