mlops ManagerInchcape

About The CompanyInchcape is the leading global automotive distributor operating in more than 40 markets. We partner with some of the biggest brands in the business to power better mobility today and in the future.Our diverse global team of over 18,000 talented colleagues foster an inclusive and collaborative culture, delivering a brilliant experience for our customers and partners. We're a dynamic and fast-growing business, driving the transformation of our industry and redefining tomorrowThe Digital Delivery Centres accelerate Inchcape's digital journey by positively impacting the business and its customers through innovative and essential technological solutions.Through our top talents, we support the mobility of millions of people globally through the power of digital technology.Purpose of Role:
Serve as a technical guide to the team and contribute to the overall MLOps infrastructure design
Develop a playbook for MLOps Engineering and set global standards for managing MLOps activities across Inchcape
Work closely with data scientists, business, and IT teams to build platform and framework to enable machine learning and data analytics activities ensuring robustness & scalability of solutions
Job Role and Responsibilities:
Scope, design, and implement machine-learning models to solve interesting user-cases and achieve measurable improvements
Continuous innovation and optimization of machine learning workflow, through R&D on modern technologies.
Collaborate with Data Science teams on model operationalization strategies
Analytics-as-a-service is your mantra and develop relevant capabilities on the cloud to enable & monitor services based on the principles or Microservices
Use containerization and cloud technologies (eg. OpenShift, Kubernetes, Docker, Mesos, AWS) as well as DevOps and testing tools (Git, SVN, TFS, Jira, Confluence, Jenkins, Nexus, Selenium) to enable API economy
Qualifications:
Proven track record of leading high-performing data teams that successfully implemented real-time integration utilizing a variety of technologies, development tools and database systems.
5+ years of working experience in a hands-on ML role out of which 2+ years of team leadership including people management.
Master's degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field or a bachelor's degree with at least 4 years of hands-on experience
You have a strong background in machine learning, theory, and practice.
You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models, using tools like Apache Spark, PySpark or other distributed data processing frameworks.
Deep knowledge of SOA, Architecture and Design on Micro services, REST Services Development
Experience using cloud services such as Azure/Databricks is a plus.
Realise your potentialBuild a brilliant career, where you're encouraged and supported to fulfil your ambition, mentored by excellent managers.Explore exciting and rewarding career pathways, with regular promotion and performance reviews to help you progress.Develop your expertise and upgrade your skills with continuous training in the latest tech advancements.If you have the skills, passion, and drive to thrive in this role, and you're ready to grow your career with a dynamic global team in the digital space, we want to hear from you!
Inchcape

Pasig City, Metro Manila
Permanent
Full-time