MLOps Engineer

Description

the About Knorex

Founded in 2009, Knorex (https://knorex.com) is a technology company that provides programmatic advertising products and solutions to marketers to connect in real-time to their desired audience worldwide. Through its flagship universal marketing platform, Knorex XPO unifies the connectivity to each of the major marketing channels including social media, search, connected TVs/OTTs, video, audio, display/native, and email, in one place, while simplifying execution and optimization across these channels through AI automation. Knorex operates across the US and APAC.

Why Knorex

We are constantly on the lookout to recruit the best and the brightest - from engineering to sales to account management to operations and HR.

Knorex offers you many different opportunities to scale your ambition and creativity far and beyond. We embrace a dynamic and pragmatic way of doing things, setting ourselves up for long-term achievement yet relentlessly focused on delivering the short-term goals. If you love the joy of building stuff and seeing them grow, growing yourself and others in the process, and challenging yourself to do stuff that you once thought impossible, we invite you to explore a career with us.

Job Description

Knorex develops a cloud-based, highly scalable, all-in-one advertising and marketing platform called Knorex XPO (https://xpo.knorex.com/) where Advertisers, Agencies and Publishers can easily create, optimize & publish Dynamic Ads worldwide with speed and ease. As part of the platform offering, anyone can traffic their Dynamic Ads programmatically via automated buying through our in-house real-time bidder and optimizer.

Real-time bidding (RTB) is a means by which advertising inventory is bought and sold on a per-impression basis, via programmatic instantaneous auction, similar to financial markets. The entire process generally takes place in less than 100 ms. Owing to the large and real-time stream of data, coming up with efficient and pragmatic solutions and algorithms to challenging problems will become imperative. At Knorex R&D, we apply large-scale machine learning (ML) models to optimize the return-on-investment of our advertisers budget. Tasks we work on include user interaction prediction, bidding optimization, contextual targeting, etc.

We are seeking MLOps Engineers with the zest and passion to work on our in-house machine learning platform, which covers the whole life-cycle of machine learning, from data collection and augmentation pipeline, to model training and serving, to monitoring and analysis. You will be joining our R&D team working closely with Data Scientists, Research Scientists, and Software Engineers to build a highly scalable system that can handle billions of requests per day, all delivered in milliseconds.

In this role, you will work on large-scale and low-latency ML systems. You need to acquire a deep technical understanding of the platform, work with our cross-country team located regionally to learn about the business and technical analytics requirements, and translate them into production system.

Key Responsibilities

Plan, design and develop components in the data pipeline to enable various machine learning models in production.

Work closely with Data Scientists and Research Scientists to translate the state-of-the-art to production systems.

Develop metrics to measure the outcome/impact of your introduced solutions.

Investigate the existing pipeline, identify bottlenecks and optimize the throughput and latency of ML components.

Document and improve the solutions over time.

Evaluate and identify new technologies for implementation.

Communicate with our business and technical teams to understand the analytics requirements.

Respond and follow up to incorporate feedback and draw new insights.

Prioritize tasks to meet multiple deadlines.

Requirements

Strong knowledge of Java is a must;

Strong knowledge of Python is a must;

Strong knowledge of algorithms and data structures;

Strong in analytics and problem solving technique;

At least 2-year working experience as ML/Data/Software Engineer or equivalent;

Prior experience with Elastic Search is a strong plus;

Prior experience with machine learning and NLP is a strong plus;

Understanding of online advertising technology and RTB is a strong plus;

Possess at least a Degree or Diploma in computer science / IT related;

Willingness to learn and able to pick up new technology or new concepts fast;

Able to work independently as well as in collaborative mode with minimum supervision;

Work productively even under pressure;

Possess good work ethic, attitude with good follow-through;

Reasonable communication in written and spoken English.

Benefits

Competitive remuneration package including quarterly bonus payout.

SHUI as law stipulated, 14 days AL

MacBook provided

Comprehensive benefits scheme such as W3F (Work, Wellbeing, Welfare) Fund for courses, materials, personal health and wellbeing.

Work from home benefit.

Quarterly recognition program and long service reward.

Career growth and personal development scheme.

You will have the advance to influence and drive the changes, at Knorex we welcome good ideas and accept any possibility to make our company great.

We offer great learning opportunities, you will have exposure in cutting edge performance marketing and advertising technology.

Opportunity to work cross-country and with variety of projects of a different nature.