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Job Function:
R&D Product DevelopmentJob Sub Function:
R&D Machine LearningJob Category:
Scientific/TechnologyAll Job Posting Locations:
Singapore, SingaporeJob Description:
Johnson & Johnson is seeking an extraordinary and enthusiastic Associate Machine Learning Engineer. This role requires a deep understanding of machine learning algorithms, strong software engineering skills, and the ability to translate business requirements into scalable machine learning solutions.
As a member of the Global Finance Data Science team, you will report to the Principal Machine Learning Engineer. You will be involved in designing, developing and deploying scalable and efficient Machine Learning models and systems on cloud platforms. You will be working closely with Data Scientists to understand technical requirements in Machine Learning projects and devising solutions to meet those needs.
Responsibilities- Support 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, Agentic 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.
- Develop robust, production-grade code for deploying machine learning models on cloud platforms. Ensure solutions meet reliability, performance, and security standards.
- Implement best practices for model monitoring, performance optimization, and continuous integration/deployment.
- Research and stay updated with the latest developments and trends in machine learning and related fields and establish industry network by participating in internal and external forums, conferences, etc.
- At least a Masters degree in Computer Science, Engineering, Business Analytics or an equivalent qualification
- Proficiency in Python, SQL, and Apache Spark; exposure to Databricks and Fabric is a plus.
- Basic familiarity in architecting and implementing LLM-based and agentic AI systems.
- Adherence to software engineering best practices, including writing clean code.
- Basic understanding of CI/CD tools and software, including Jenkins, Git, BitBucket, Spinnaker and Helm.
- Strong team player and you can work effectively in a collaborative, fast paced, high achieving environment.
- Exceptional analytical and problem-solving skills.
- Good communication and presentation skills.
Required Skills:
Preferred Skills:
Analytical Reasoning, Artificial Intelligence (AI), Business Savvy, Cognitive Computing, Data Gathering and Analysis, Data Modeling, Detail-Oriented, Execution Focus, Machine Learning (ML), Natural Language Processing (NLP), Persistence and Tenacity, Project Management, Research and Development, SAP Product Lifecycle Management, Science, Technology, Engineering, and Math (STEM) Application, Scientific Research, Scripting Languages, Technologically SavvySkills Required
- Masters degree in Computer Science, Engineering, Business Analytics or equivalent
- Proficiency in Python
- Proficiency in SQL
- Proficiency in Apache Spark
- Exposure to Databricks and Fabric
- Basic familiarity architecting and implementing LLM-based and agentic AI systems
- Adherence to software engineering best practices and clean code
- Basic understanding of CI/CD tools (Jenkins, Git, BitBucket, Spinnaker, Helm)
- Strong teamwork and collaboration skills
- Exceptional analytical and problem-solving skills
- Good communication and presentation skills
- Preferred skills include ML, NLP, Generative AI, reinforcement learning, data modeling, scripting languages and research experience
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
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