Mô Tả Công Việc
Gene Solutions is a leading company in Vietnam, specializing in the research and development of advanced genetic testing for precision medicine in screening, diagnosis, and treatment of cancer. Overthe years, Gene Solutions has consistently invested in building a strong and highly skilled R&D team, with prominent publications in related fields.As a junior machine learning engineer in our team at Gene Solutions, you will collaborate closely with senior engineers, data scientists, biologists, and immunologists to develop, deploy, and monitor the cutting-edge machine learning system which accelerates our early cancer detection projects. It is an excellent opportunity for recent graduates or early-career professionals to gain hands-on experience building the end-to-end machine learning system from the ground up. If you are passionate about applying ML to solve real-world problems in genomics, we strongly encourage you to apply and join our innovative team.Key ResponsibilitiesCollaborate with data scientists and data engineers to integrate ML/DL models into the existing MLOps system, ensuring scalability and reliability.Participate in developing and integrating model components into the larger MLOps system, including model versioning, model serving and monitoring, and pipeline orchestration.Participate in implementing and managing CI/CD pipelines, as well as monitoring production of ML systems for performance, drift, and anomalies.Participate in implementing, maintenance and operating our current Data Lakehouse.Contribute to writing and maintaining unit tests, integration tests, and technical documentation for ML code, mod,els, and pipelines to ensure reliability, reproducibility, and ease of collaboration.Stay updated on emerging ML trends and tools and contribute ideas for applying them to realworld problems.
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Yêu Cầu Công Việc
Required qualificationsAt least 1 year of experience in machine learning, MLOps engineering (including internships, academic projects, or open-source contributions), with a bachelor's degree in computer science, information technology, software engineering, or equivalent.Proficiency in Python programming with a focus on MLOps frameworks (e.g., Dagster, MLFlow) and techniques such as model deployment and monitoring.Solid understanding in MLOps concepts.Familiarity with Linux system and version control system (e.g. Github, Gitlab).Basic understanding of software engineer and DevOps practices including REST API, CI/CD pipeline or containerization (e.g. Docker).Strong problem-solving skills and the ability to learn quickly in a fast-paced environment.Good communication skills to articulate technical ideas to non-technical stakeholders.Basic understanding of data engineer concepts, such as ETL pipeline, data lake, and data warehouse.
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Quyền Lợi
13th month salary. Holidays and full annual leave in accordance with State regulations.Full salary insuranceDynamic and humane working environment Annual trip.