Job Description

As a part of WWS your  expertise in machine learning helps us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and situating them to production.The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

What We Expect

A bachelor/Master degree in IT, computer science, or advanced related field is preferred.
At least 3+ years of experience working with ML libraries and packages.
Familiarity in coding and programming languages, including Python, Java, C++,SAS.
Strong experience in programming and statistics.
Well versed in Data Science and neural schematics in networking and software.
Flexibility in shifts is appreciated. 

 A Full Stack Developer’s Ideal Day At WWS 

Design and Develop.The primary protocols include implementing machine learning algorithms,running AI systems experiments and tests. The Designing and development of machine learning systems along with performing statistical analyses falls under day to day activities of the developer.

Algorithm Assertion. The engineers act as critical members of the data science team as their tasks involve researching, asserting, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems. 

Research and Development.To analyze large, complex datasets and extract insights and decide on the appropriate technique.research and implement best practices to improve the existing machine learning infrastructure. At most in providing support to engineers and product managers in implementing machine learning as the product.

What You Can Expect
Full-time, salaried position creamed with welfare programs. 
Competitive salary and tailored training in the core space with recognition potential and annual bonus.
Periodic performance appraisals.
Attendance Incentives.
Working with the best and budding talent in the industry.
Conducive intangible environment with dynamic benefits.

Why Consider Machine Learning Engineer as a career with WWS?

With a very appealing work environment at WWS, our setting made it easier to build relationships with other staff members and clients. You may also have an opportunity to learn other aspects of environmental office work on the job, which can enhance your experience and qualifications.
 Many businesses must proactively react to changing factors — like patterns of customer behavior or prices. Tracking model performance and retraining it once fresher data is available is key to success. This falls under the MLE range of responsibilities for which the requirement has been crucial for many organizations.

Please attach your resume and let us know through email your current address, phone number, and the best time to contact you by phone.

Skills Required