โลโก้บริษัท Data Wow Co.,Ltd

Sr. Data Engineer / Scientist - Deep Learning

Data Wow Co.,Ltd - Senior-Level, Full time - พระโขนง กรุงเทพมหานคร
฿40,000-฿180,000

DATA ENGINEER

We are looking for a savvy Data Engineer to join our growing Data Science team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities:

  • Create and maintain optimal data pipeline architecture,Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
  • Work with stakeholders including the Executive, Product and Data teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications:

  • We are looking for a candidate with 2+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
  • Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.
  • Experience with AWS cloud services: EC2, SQS.
  • Experience with container orchestration : Docker, Kubernetes
  • Experience with object-oriented/object function scripting languages: Python
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

DATA SCIENTIST

As Data Scientist, you will be working with high complex structured and unstructured datasets. Yes, we are talking terabytes. You will be building Statistical, Machine Learning, and/or Deep Learning models to solve business problems, improve operation, and build data products.

Responsibilities:

  • Build state-of-the-art Deep Learning models to tackle Computer Vision and NLP problems
  • Work with data/product engineers to deploy it to production and/or build a data product out of your ML models
  • Communicate with the stakeholders to understand the business problem, solve the problem using data, and effectively present the insights/results

Qualifications:

  • B.S./M.S./PhD in mathematics, statistics, data science, computer science, electrical engineering, or related field
  • Good understanding of data science: data visualization, regression, clustering and classification
  • Fluent in Python (Numpy, Pandas, Scikit-Learn)
  • At least 1 year experience working with Machine Learning (Decision Trees, SVMs, Logistic Regression, PCA, Kernel Methods, LDA, QDA)
  • At least 1 year working with Deep Learning. Being fluent in at least one DL framework (e.g. Tensorflow, Theano, Keras, MxNet, PyTorch, CNTK)
  • Experience working with big data is a plus
  • Experience with parallel/distributed/cloud computing is a plus
  • Experience training Deep Learning models on multiple GPUs is a plus
  • Knowledge on (Deep) Reinforcement Learning is a plus
  • Experience with unsupervised and generative models are a big plus (e.g. Autoencoders and GANs)
  • Experience with multi-task learning is a big plus
  • Proficiency in SQL and MongoDB
  • Good command of English
  • Can self-manage a project from start to finish
  • New graduates having worked with ML/DL in the academia are welcome

Benefits:

  • Group health insurance.
  • Subsidized gym membership
  • You pick your equipment (Mac / Windows)
  • Semi Flexible working hour 
  • Work from home day !! 
  • Free Snacks and Drinks 
  • Free lunch on Friday 
  • Friday Wow Massage !!

Related Skills

#aws#data-science#machine-learning#mongodb#python

Contact

Data Wow Co.,Ltd
1778 Summer Hub Office Building, 6th Floor, Sukhumvit Rd., Phra Khanong, Klong Toey, Bangkok, 10110

About Data Wow Co.,Ltd

โลโก้บริษัท Data Wow Co.,Ltd

Data Wow Co.,LtdInformation Technology

Data Wow Co., Ltd. is a Japanese-Thai tech-startup company specialized in content and media moderation technologies. We are also expanding into a micro-task outsourcing platform as we strongly believe

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