Machine Learning Engineer - Data Modeling

Description :

Role : SE - Machine Learning

Exp : 1 - 4 years

What is the Opportunity ?

WonderBiz helps Heads of Engineering build software products, leveraging Technology that helps global companies to improve operational efficiency and reduce costs.

11+ years in the Business, 30+ International Customers, 50+ Products developed & counting, with clients from the Silicon Valley & Fortune 100 Companies.

Highly Growth-Driven work culture.

Opportunity to work with an insane Dev. team - together for 5+ years now - led by 2 passionate Software Engineers themselves having rich industry experience of 20+ years.

We are looking for a Machine Learning Specialist that will be responsible to do analysis and solving of increasingly complex problems proposing, reviewing, maintaining, and delivering detailed designs and technical solutions for our Product development projects.

This role provides opportunities to work on a wide variety of projects covering areas including Edge and Cloud computing, developing distributed and fault-tolerant systems, containerization, etc.

You should also have an in-depth understanding of the underlying technologies, and architectures work in 2020.

What will you do ?

• Working in a cross-functional agile team to deliver end-customer facing Machine Learning and Edge IoT applications through the complete development lifecycle from specification through to implementation, deployment, and support.
• Contributing to the evolution of the product architecture, adding significant new functionality, and improving the performance, scalability, and robustness of the IoT Cloud and Edge platform.
• Collaborating with a global, geographically dispersed team that is focused on delivering complementary layers of the infrastructure.
• Analyzing business user requests, estimate tasks throughout the project life cycle, design and document appropriate solutions, and design the business components and database objects required to implement the solution.

What do you need to succeed ?

(ref : hirist.tech)