MLOps - Machine Learning / Data Scientist

Job description

​Technical Responsibilities

• Collaborate with data engineers, data scientists and product team to productionise and deploy end-to-end machine learning system.

• Setup and govern various data science services and infrastructure, including data science environment, artifact store and metadata tracking.

• Build CI/CD pipelines to automatic and repeatable resources provisioning and application deployment processes.

Management Responsibilities

• Conduct user requirement studies (liaising with IT Business Partnering team), system analysis and design, contract negotiation with IT vendor(s) etc.

• Collaborate with vendors and service providers for solution planning, service delivery and technical support activities.

• Collaborate with solution design and business requirement team to identify the suiting data and analytics solutions as well as assembling large, complex data sets that meet the requirement.

Must-haves

• Demonstrable commitment to continuous learning

• Proactive, performance driven, and results oriented.

• Enthusiastic about machine learning and technologies, eager to learn and strive for the best.

• Good at Vendor management, Relationship management, Change management skills.

• Excellent Communication, Leadership, Problem solving and analytical skills.

Highly regarded.

• Fluency in Python

• Hands on coding experience on building end-to-end machine learning system.

• Proficiency in software version control and lifecycle management

• Experience in Machine Learning system development, orchestration, deployment, monitoring

• Experience in at least one of the Machine Learning/Deep Learning frameworks , such as scikit-learn, XGBoost and PyTorch

• Experience in cloud computing platform like Azure, Alibaba Cloud or AWS

• Experience in container technologies like Docker and Kubernetes

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Engineering, or other quantitative or related disciplines. Master’s degree in a related field is desirable

• Professional certifications in cloud platforms (Azure, AWS or AliCloud), or relevant industry certifications are highly regarded

Additionally, you will be paid a competitive high base salary and the opportunity to make unlimited performance commissions/bonuses. For our best consultants, they are rewarded with annual global incentive holidays to exotic locations and to network with their top international counterparts.

If you are interested in finding out more about this career opportunity, please email your resume to Cani Fan, cani.fan@charterhouse.com.hkWeb: www.charterhouse.com.hk

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