Machine Learning Engineer
Are you interested in changing the world of work? We’re building a world-class analytics team to apply data science to the soft side of how work gets done. We’re working hard, having fun, and making history; come join us!
Workhuman is seeking a Machine Learning Engineer to join our Workhuman iQ team as a domain expert. This role is responsible for developing infrastructures and platforms for a wide variety of NLP /AI and data analytics products. The person will work with data scientists and engineering teams to build products that uncover insights hidden in recognition moments across dozens of countries for our customers, the industry and our company.
The projects that our team work on are built from the ground up and we look for individuals who want to take ownership and implement solutions independently and thrive in a collaborative environment. Your work will be project-oriented, and you will often be responsible for bringing together the needs of data scientists, engineering team, product managers and other internal customers to provide viable solutions and communicating your thoughts effectively.
This position will report to the NLP Manager.
Main duties & responsibilities:
- Work with Engineering and Architect teams to implement data pipeline on AWS (including data collection, data pre-processing, data sampling and validation) for Workhuman data products
- Partner and collaborate with Data Scientists to build large scale machine learning and deep learning models, as well as build training pipeline to facilitate the training of large-scale machine learning models for Workhuman AI products in production environment
- Investigate and explore the latest deep learning tool kits and frameworks for integration purposes into our models
- Implement processes to gather usage data generated from Workhuman AI products and build tools to facilitate performance analysis
- Develop tools to facilitate data review and analysis
Required skills and experience:
- Three to five years experience building and deploying Machine Learning and Deep learning models in production environment.
- Understanding in model inferencing, monitoring, feedback loop and data capture in real time at scale
- Three years of industry experience in software development, data engineering, or related field
- Experience with and track record of building data pipeline for machine learning product
- Strong knowledge of AWS (S3, EC2, GLUE)
- Good in programming languages such as: Python, Spark, and Java
- Production level experience with state-of-art machine learning framework such as: Tensorflow, Pytorch, Pandas, Scikit-learn, Keras, etc.
- Knowledge with web app development such as: database, REST API and cloud
- Practical knowledge of data processing needs and trade-offs
- Comfortable handling a high volume of work daily
- Comfortable working in a fast paced, highly collaborative, dynamic work environment
- Willingness to support several projects at one time, and to accept reprioritization as necessary
- Experience with process design and documentation
- Bachelor’s (or above) degree in software engineer, computer science, computer engineering, data engineering or other related field
Preferred skills:
- Knowledge of AWS Sagemaker
- Knowledge with the front-end languages such as: Javascript, HTML, React, or CSS
- Experience with developing back end and front end of web applications for data analytics and business intelligence apps
- Experience with working with large-scale of text data across languages
- Understanding in model inferencing, monitoring, feedback loop and data capture in real time at scale