Deep Learning Expert

Deep Learning Expert

  • Anywhere

Company Name:-
WAVELABS TECHNOLOGIES

Job Location:-
Hyderabad, Telangana

Job Summary:-
About Wavelabs Technologies
www.

wavelabs.

aiWavelabs (
https://www.

Wavelabs.

ai/aboutus/
) is a team of domain specialists, tech nerds, data scientists, design practitioners and product strategists eager to build cutting-edge products and solutions in an agile and iterative development model.

Our human-centered approach meshes seamlessly with our fervor to innovate and deliver relevant solutions at a lightning speed.

We are a tech-centric company that helps our clients deliver world-class products & services by employing a variety of prevailing trends in – Data Engineering, Artificial Intelligence, Connectivity, Communications, all-things-Cloud & Experience Design.

In addition to serving & partnering with leading companies across the world in developing new-age AI, Machine Learning and Data products, we are also a Technology Enabled Services Provider (TES).

Wavelabs partners with Global companies to help them build their business & service models in both an Onshore & Offshore model thereby spurring their growth & success.

We are a team of experts with a great mix of – domain-based Technology, Industry and Operational experiences.

Wavelabs is an innovative workplace that serves customers at the conjunction of both – Technology Development and world-class Services.

We have an attractive compensation & benefits structure, with several perks & benefits, an innovative and vibrant workplace that rewards its people with opportunity, learning, fun and excitement in their career journey.

Requirements
Must haveUnderstand business problem and explore the feasibility of AI solutions
Perform rapid experiments to build the model that meets the desired performance
Minimum 5 years of experience in Python
Minimum 5 years of experience in exploratory data analysis (EDA), Feature engineering and data visualisation
Minimum 2 years of experience with building large scale data processing pipelines using Spark on cloud
Minimum 5 years of experience in machine learning libraries scikit-learn, XGBoost,
Minimum 2 years of experience in deep learning frameworks TensorFlow, Keras or PyTorch
Minimum 2+ years of experience in model debugging, hyper-parameter optimisation
Familiarity in Dockerizing the model and create model end points (REST

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