{"id":3860490,"url":"https://alion.io/job/relisource-junior-machine-learning-engineer","title":"Junior Machine Learning Engineer","company":{"id":4436043,"name":"ReliSource","domain":"relisource.com","url":"https://alion.io/company/relisource","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dhaka, Bangladesh"],"countries":["BD"],"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":"Azure","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"TensorFlow","optional":false},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-11-06T09:10:40Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-06T22:42:22Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Application Deadline\nNovember 30, 2026 (Early applications will be given preference)\nJob Location\nGulshan-1, Dhaka\nNumber of Vacancies: 1\nWho are we looking for?\nWe are looking for a Dynamic individual having the following Qualities:\nEducational Requirements\nB. Sc. in Computer Science & Engineering or any other engineering, Mathematics or Statistics (or similar) from any reputed university.\nNote: Education requirements are not limited to those listed above. If you possess the necessary skills and experience, we encourage you to apply.\nExperience Requirements\n0 to 1 year of hands-on experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, and deep learning.\nOverview of the Responsibilities\nDevelop and deploy machine learning models using MLOps best practices to ensure efficient and scalable deployment and monitoring of models in production.\nCollaborate with cross-functional teams to identify opportunities for leveraging machine learning techniques.\nBuild and maintain scalable machine learning pipelines to process and analyze large datasets.\nConduct data exploration, feature engineering, and model selection to improve predictive performance.\nImplement and optimize state-of-the-art algorithms and models for various machine learning tasks.\nStay updated with the latest advancements in machine learning and propose innovative solutions to enhance client organizations’ AI capabilities.\nEffective communication with foreign clients.\nKey Requirements\nStrong proficiency in Python, including experience with machine learning libraries and frameworks such as TensorFlow or similar.\nBasic knowledge of Linear algebra, Calculus and Statistics.\nStrong problem-solving skills.\nHands on experience with MLOps, and DevOps.\nFamiliarity with ML cloud services (like Azure Machine Learning).\nGood communication skills in English.\nAbility to use cutting edge technologies like AI to efficiently deliver tasks.\nNice To Have Requirements\nFluency in R.\nGood Understanding of Data Engineering and ETL operations.\nNotable experience in Kaggle or other machine learning competitions.\nWhat's in it for you?\nVery competitive salary and long-term benefits with excellent career opportunity in a focused and stable organization.\nGreat opportunity to work with global companies.\nA healthy work environment with opportunity to learn from a number of highly skilled engineers.\nWeekend: Saturday and 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