{"id":4204722,"url":"https://alion.io/job/wise-ai-ai-engineer-intern","title":"AI Engineer Intern","company":{"id":4478668,"name":"Wise AI","domain":"wiseai.com","url":"https://alion.io/company/wise-ai-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Subang Jaya, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"OpenCV","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"C","optional":true},{"name":"C++","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"GitLab","optional":true},{"name":"JavaScript","optional":true},{"name":"Rest API","optional":true},{"name":"SQL","optional":true},{"name":"ZeroMQ","optional":true}],"status":"live","first_seen_at":"2026-11-12T23:17:25Z","employer_posted_date":null,"last_verified_at":"2026-11-12T23:17:25Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"You will be part of a talented team of engineers and AI researchers focused on making our life easier and the software you create will be used by thousands of people everyday. As an AI engineering intern in WISE AI, you are responsible for building computer vision models that can create value for our clients. This includes all associated areas such as machine learning, deep learning and computer vision.\n\n Responsibilities\nResearch and develop existing computer vision algorithms and incorporate novel techniques or create new algorithms from ground up to solve desired use cases\nDevelop and adapt advanced computer vision and state-of-the-art deep learning techniques for face recognition, object segmentation detection / classification, optical character recognition, and fraud detection\nAssist in dataset preparation to enhance the models\nPrototype, benchmark and implement new algorithms in production-level code\nAssist in testing and evaluation on the developed solutions by unit test, stress test, etc.\nHelp build pipelines to improve model lifecycle management\n\n Requirements\n Currently enrolled in B.S. or M.S. program in Data Science, Machine Learning, Computer Science, Engineering, Mathematics or related technical field\nSolid software engineering foundations through prior coursework or experience\nExperience using machine learning frameworks (Pytorch, Tensorflow, etc.)\nExperience with Python and multiple libraries (NumPy, OpenCV, Pandas, etc.)\nExperience with computer vision algorithms such as segmentation, object detection, etc.\nGood interpersonal and communication skills\nStrong analytical and problem solving skills\nAbility to understand when help is needed and proactively seek it\nSelf-learning ability, passion, open-minded and strong teamwork are musts\n\n Bonus Points\nFamiliarity with DevOps tools: Docker, Git (GitLab, Github, etc.)\nFamiliarity with network/messaging (RESTful API, ZeroMQ, etc.)\nFamiliarity with interfacing with databases (SQL, MongoDB)\nExperience with C++, Java, Javascript, mobile development\nExperience with MLOps\n\n Interested candidates please send in your CV to [HIDDEN 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