Machine Learning Engineer

Role Purpose:

We are looking for a Machine Learning Engineer to join Ai Lab to develop scalable and maintainable data-driven solutions. The primary focus of the role is to productionalize Machine Learning models. You will be working closely with our Data Architects, Engineers and Data Scientist to build end-to-end ML applications and scale the solution to different countries.

A typical day in this Role:

• Solve complex business problems by designing and implementing AI algorithms and models.
• Measure and optimize the performance of algorithms, including data pipeline, model training, inferencing, and API serving.
• Develop the data science projects with production-grade coding on our Machine Learning operation system built on Azure Cloud.
• Collaborate with the data architect team to design and implement features for the Machine Learning operation system, such as model performance tracking, system health monitoring etc.
• Work closely with data scientists and project managers to understand the technical requirements for implementing Machine Learning solutions.
• Bring best practices in the productionalisation of data science projects and propose new ideas for building next-generation Machine Learning operation system.
• Assist in promoting data culture and best practices within the organization.

This job is a good fit for You if:

• You are a PROBLEM SOLVER. You make decisions based on evidence-based opinions.
• You are an INNOVATOR. You will not be constrained by the past, instead viewing challenges as opportunities to change direction and explore what's ‘new and different’.
• You are an EXPERT. You have in-depth knowledge of a key area and seek possible solutions through study and research.
• You are a CHALLENGER. You will question everything. You are not reserved and tend to be energetic, quick speaking and outgoing.

Success will depend on:

• Degree in Computer Science, Statistics, Mathematics, Machine Learning or related fields.
• At least two years of experience as a Machine Learning Engineer, Data Scientist or DevOps Engineer.
• Experience in developing end-to-end ML pipelines, from data ingestion to model deployment.
  Proficient in Python and Spark
• Proficient in Database skills like SQL and NoSQL to work with structured and unstructured data; understanding of vectorDB is a plus.
• Experience with MLOps (e.g. ML model monitoring, logging, versioning, etc.).
• Strong debugging and troubleshooting skills for ML systems.
• Knowledge of software best practices like version control, testing, documentation.
• Self-starter who can work with minimal supervision and meet deadlines.
• Experience in designing and developing APIs to serve Machine Learning models.

We are an equal opportunity employer and welcome applications from all qualified candidates. The information provided will be treated in strict confidence and be used only for consideration of your application for relevant/ similar posts within the AS Watson Group.