Upskills is seeking a highly motivated candidate with machine learning algorithm knowledge to participate on various machine learning projects for new financial technology market software solutions. Working closely with the team, speaking to clients to gathering requirements, and ensuring customer success.
You will be responsible for, and not limited to
Work on client's project, creating and deploying financial technology to various financial institution
Work together with our in-house teams on our machine learning initiatives/projects
Translate business needs to technical requirement
Be responsible for developing modules for machine learning products
Be part of the planning of system architecture
Be responsible for much of the DevOps of the product releases
Key Requirements
Master/ Bachelor’s Degree in AI, Computer Science / Computer Engineering is preferred
Minimum 1.5 years of experience working as Machine Learning/ AI Engineer
Full proficiency in Python, R
Proficiency in Linux-based operating systems
Proficiency in git
Knowledge of Hadoop Ecosystem including Hive, Impala, Kafka, Spark, Zookeeper is a strong plus.
Knowledge of container tools such as Docker and Kubernetes
Knowledge of DevOps CI/CD tools such as Jenkins
Experience with cloud computing platforms (AWS, GCP, Azure)
Some knowledge of machine learning (CNN, RNN, Random Forest, SVM, etc)
Ability to solve technical challenges and solutions