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Position: Machine Learning Engineer
Institution: Johnson & Johnson Services Inc.
Location: Singapore, United States
Duties: Lead the end-to-end development of machine learning models, from data collection and preprocessing to model training, evaluation, and deployment; Apply machine learning techniques and algorithms, such as deep learning, Generative AI, natural language processing, reinforcement learning, etc on finance datasets; Design and implement scalable machine learning algorithms and systems that can efficiently handle large volumes of data; Collaborate with data scientists, data engineers and business stakeholders to understand business requirements, translate them into technical requirements and deliver end-to-end data solutions
Requirements: Bachelor’s degree or higher in Computer Science, Engineering, or an equivalent qualification; 3-5 years of proven experience deploying machine learning models in a production environment; Proficiency in Python, Bash and SQL with intermediate understanding of C/C++/Java/Scala/R; Experience in distributed computing frameworks such as Ray, Dask, and Spark; Experience with deploying Machine Learning models to AWS cloud platform
   
Text: Machine Learning Engineer Lead the end-to-end development of machine learning models, from data collection and preprocessing to model training, evaluation, and deployment; Apply machine learning techniques and algorithms, such as deep learning, Generative AI, natural language processing, reinforcement learning, etc on finance datasets; Design and implement scalable machine learning algorithms and systems that can efficiently handle large volumes of data; Collaborate with data scientists, data engineers and business stakeholders to understand business requirements, translate them into technical requirements and deliver end-to-end data solutions Bachelor’s degree or higher in Computer Science, Engineering, or an equivalent qualification; 3-5 years of proven experience deploying machine learning models in a production environment; Proficiency in Python, Bash and SQL with intermediate understanding of C/C++/Java/Scala/R; Experience in distributed computing frameworks such as Ray, Dask, and Spark; Experience with deploying Machine Learning models to AWS cloud platform
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