{"id":2461420,"url":"https://alion.io/job/wizpresso-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":4420440,"name":"Wizpresso","domain":"wizpresso.com","url":"https://alion.io/company/wizpresso","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong"],"countries":["HK"],"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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Agile","optional":true},{"name":"Airflow","optional":true},{"name":"Ansible","optional":true},{"name":"Hadoop","optional":true},{"name":"Scrum","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-13T17:29:31Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T01:16:19Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Wizpresso\n(learn more at https://wizpresso.com)\nWizpresso is a Hong Kong-based technology company that transforms enterprise workflow and empowers financial markets stakeholders. We develop software underpinned by natural language processing (NLP) and deep learning to augment market intelligence, regulatory reporting, and knowledge management. We deliver value to users by removing communication barriers between participants, improving business growth, managing risks, and enhancing operational efficiency.\nOur clients include global financial institutions, professional services firms, and enterprises. Wizpresso has earned numerous accolades, such as the HKMA/HKT Innovation Awards 2024 (Gold), APICTA 2023 AI of The Year Awards, Maker in China 2022 Champion, CUHK Corporate Innovation Index 2022, HKICT Grand Fintech Award 2021, EPIC 2021 Fintech Champion, and multiple IFTA Fintech Awards. If youre passionate about pioneering financial and regulatory technology and eager to build transformative SaaS products for professionals, Wizpresso is the place for you. Join our fast-growing, dynamic team and thrive in a culture celebrating data wizards and automation mavens!\nWe are obsessed with our customers.\nBuilding a powerful yet simple and elegant product is engrained in our culture.\nWe value execution and outcomes over appearance and office politics.\nWe believe everyone has great ideas and unique strengths.\nIf you agree with the above values, we would love to meet you.\nJob Brief\nWe are seeking a highly motivated and talented individual to join our team as a Junior Machine Learning Operations Engineer. In this role, you will play a crucial part in optimizing and maintaining our machine learning systems and infrastructure, ensuring seamless integration and deployment of models into production. You will work closely with cross-functional teams, including data scientists, software engineers, and DevOps professionals, to deliver scalable and reliable machine learning solutions.\nResponsibilities:\nCollaborate with data scientists and software engineers to deploy machine learning models into production environments.\nDevelop and maintain scalable infrastructure for training, testing, and deploying machine learning models.\nImplement and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning projects.\nMonitor and optimize machine learning systems to ensure performance, scalability, and reliability.\nTroubleshoot and resolve issues related to model performance, data quality, and system stability.\nCollaborate with DevOps teams to ensure smooth integration of machine learning systems with existing infrastructure.\nDevelop and maintain documentation related to machine learning infrastructure, processes, and best practices.\nStay up-to-date with the latest advancements in machine learning operations and identify opportunities for improvement within the organization.\nQualifications:\nBachelor's or Master's degree in Computer Science, Engineering, or a related field.\nSolid understanding of machine learning concepts and techniques.\nProficiency in programming languages such as Python and/or R.\nExperience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).\nFamiliarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).\nKnowledge of version control systems, such as Git.\nStrong problem-solving and troubleshooting skills.\nExcellent communication and collaboration abilities.\nAbility to work effectively in a fast-paced and dynamic environment.\nAttention to detail and a commitment to delivering high-quality results.\nPreferred Qualifications:\nExperience with deploying machine learning models in production environments.\nKnowledge of big data processing frameworks (e.g., Apache Spark, Hadoop).\nFamiliarity with data pipeline orchestration tools (e.g., Airflow, Luigi).\nUnderstanding of software development methodologies (e.g., Agile, Scrum).\nExperience with infrastructure-as-code tools (e.g., Terraform, Ansible).","description_format":"text","description_chars":4078,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T17:29:31Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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