{"id":177055,"url":"https://alion.io/job/awarri-senior-ai-engineer-wat-remote","title":"Senior AI Engineer (WAT Remote)","company":{"id":63593,"name":"Awarri","domain":"awarri.com","url":"https://alion.io/company/awarri","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"worldwide","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":242000,"period":"year","method":"global_role_seniority_cell","sample_n":2365},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BERT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Perplexity","optional":false},{"name":"PyTorch","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tokenization","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2025-10-31T17:12:37Z","employer_posted_date":"2025-10-31","last_verified_at":"2026-10-27T00:40:59Z","board_verified":true,"closed_at":null,"days_open":360,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":359},"description":"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.\nWe 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.\nWhy Join Awarri?\nBe part of a pioneering initiative to shape the future of AI in Africa.\nCollaborate with a passionate and diverse team of engineers, researchers, and innovators.\nContribute to projects with real-world impact, driving inclusivity and representation in AI.\n\nSenior AI/ML Engineer\nThe 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.\nResponsible for\nLead the design, training, and optimization of large-scale language models for African languages and dialects, ensuring accuracy and contextual relevance.\nDevelop innovative solutions for data pre-processing, tokenization, and embedding, specifically for low-resource and multilingual datasets.\nImplement and fine-tune transformer-based architectures (e.g., GPT, BERT) for specific NLP applications like text generation, translation, and sentiment analysis.\nDesign scalable pipelines for data collection, annotation, and pre-processing to support model development.\nCollaborate with linguists, cultural experts, and AI researchers to ensure the LLM aligns with diverse user needs and cultural sensitivities.\nDeploy, monitor, and maintain production-level LLM systems in cloud-based environments, ensuring robust performance and reliability.\nEstablish frameworks for model evaluation, leveraging metrics such as perplexity, BLEU, and human-centered benchmarks.\nStay at the forefront of advancements in NLP, LLMs, and generative AI, integrating emerging research into Awarri's language model development efforts.\nDocument processes, architectures, and outcomes for knowledge sharing and collaboration across teams.\nTechnical Proficiency:\nRequirements\nMinimum of 3 years in AI/ML engineering, with a focus on NLP and large language models.\nStrong expertise in transformer-based models such as GPT, BERT, T5, or equivalent.\nProficiency with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.\nExperience in training and fine-tuning LLMs on large-scale, multilingual datasets.\nStrong programming skills, with expertise in NLP libraries and tools.\nData and Cloud Expertise:\nExperience in building pipelines for text data collection, pre-processing, and annotation.\nFamiliarity with cloud platforms like AWS, Azure, or GCP for deploying scalable NLP solutions. \nInnovation & Collaboration: Demonstrated ability to work on open-ended research problems and collaborate with interdisciplinary teams, including linguists and cultural experts.\nImpact: A proven track record of developing and deploying NLP systems that deliver measurable value in production.\nPreferred Skills\nExperience working with low-resource languages or multilingual NLP.\nKnowledge of cultural and linguistic nuances in African contexts.\nFamiliarity with ethical AI principles, particularly for language technologies.","description_format":"text","description_chars":3590,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Training Data & Annotation","AI Compute & 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