Associate Machine Learning Engineer

Associate Machine Learning Engineer

1-year contract, potential to renew

Come and join us!

Do you wish to work in a world-class organization trying your hands at something you have dreamt of doing

FIND YOUR PLACE by joining a world-class US Consumer company

Get an opportunity to explore new technology, learn new skills, enjoy the diverse and open culture, engagement and care, flexible working model, career opportunities, competitive salary and bonus, and endless amenities and benefits.

Company Description:

Our client is an American consumer health company. It is the proprietor of well-known consumer brands. They combine the power of science with meaningful human insights to empower people around the world to live healthier lives.

Description

This role requires a good 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, 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.

Requirements (Key)

• Bachelor's degree or higher in Computer Science, Engineering, or an equivalent qualification with minimum 1 year of relevant experience
• Proficiency in Python, Bash and SQL with intermediate understanding of C/C++/Java/Scala/R.
• Basic familiarity with distributed computing frameworks such as Ray, Dask, and Spark.
• Adherence to software engineering best practices, including writing clean, maintainable, and efficient code.
• Basic understanding of CI/CD tools and related technologies, such as Jenkins, Bitbucket, Spinnaker and Helm.
• Exceptional analytical and problem-solving skills.

Requirements (Preferred)

• Exposure to Deep learning frameworks such as PyTorch and TensorFlow.
• Familiarity with machine learning pipeline management and model monitoring tools (MLflow, Kubeflow, etc).

Certifications (Preferred)

• AWS certification (e.g. Solutions Architect, DevOps Engineer)

Interested parties, please apply through this link https://jnj-apac.talent-pool.com/projects OR click on APPLY button.

Alternatively, you can share your CV at [Confidential Information]

EA License: 94C3609

Reg No: R1440247