AI/ML Job: (Senior) Machine Learning Engineer

Lynk Global

(Senior) Machine Learning Engineer at Lynk Global

Hong Kong, Hong Kong 🇭🇰   (Posted Jun 6 2018)
About the company
Lynk was founded with a mission to democratize access to knowledge, by leveraging proprietary technology and employing high calibre people, from a diverse range of backgrounds. We are challenging the ‘traditional’ Expert network business model, to cultivate a community of users

We connect world class experts to users seeking their knowledge, and insights. Whether users have a quick question, or need an extended engagement, we can find the right person to help

Job position
Permanent

Job description
Why LYNK?

LYNK is a VC-backed, product-driven startup working with leading institutional clients, top level experts and thought leaders globally

We operate in a high-octane environment where our people think about the big picture and always strive to “make it happen”

Our team, spread across four countries today (and growing!), is multinational, multilingual and multicultural. Our clients have likened us to a mini United Nations.

You will be constantly challenged with new problems to solve every day.

We are here to realize big dreams and have a firm belief in our core mission – to democratize access to knowledge.

What You’ll Do:

Build Data Pipelines that clean, transform and aggregate data into databases and adopt data warehouse solutions in AWS Redshift

Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, writing applications, etc.).

Develop data pipelines that unify various data sources into one cohesive platform for data access.

Define key operating metrics, develop related analyses, perform data modelling

Work on the optimization and development of channel performance

Implement the Analytics data stack using AWS EC2, S3 (distributed data lake), Elastic Map Reduce (computation cluster), Data Pipeline (job management in Spark (Scala) on Hadoop, using Avro and Parquet) and Redshift (columnar data warehouse), and Google Big Query and CloudStorage.

Skills & requirements
What Expertise You’ll Add To The Team:

Bachelor's Degree holder in Computer Science, Mathematics, Physics or equivalent experience

Experienced data engineering (4+ years of exp) with cloud technologies such as AWS Redshift, EMR and S3 (Less experienced candidate would be considered for Data Engineer)

Experienced with NoSQL databases (MongoDB or PostgresDB preferred)

Experienced in data extraction using SQL. ETL experience and expertise with Linux/Unix.

Experienced in debugging of complex systems for processing event based logs and user logs

Experienced in Database scalability techniques and Parallel ETL flows

Experienced in Computer Science (algorithm, operating systems etc.), Scripting language (Python, Perl etc.) and Functional Programming.

Bonus Attributes:

Strong passion for creative content curation and building brand awareness

Passion for business and enthusiastic about taking part in shaping LYNK’s growth

Function well in a very fast-paced startup environment

Track record of excelling in small teams

Team players who thrive in uncertainty and like to “make things happen”!

Instructions how to apply
see the website
[ job website ]

Let them know you found the job via https://Jobhunt.ai
(Companies love to know recruiting strategies that work)
 

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