Viavi Solutions
Location
Chennai | India
Job description
Duties Responsibilities:
Selected candidate will be working on a Telecom Artificial Intelligence Product, on the latest cutting edge technologies!
What we expect!
Research and test novel machine learning approaches for analyzing large-scale distributed computing applications.
Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on live customer data to improve efficacy, and robustness
Work closely with other functional teams to integrate implemented systems into the SaaS platform
Suggest innovative and creative concepts and ideas that would improve the overall platform
Create use cases with respect to domain for solving a business problem
Requirements -
5 -8 years of experience in developing AI/ML applications.
Engineering/Mathematics/ Statistics disciplines are acceptable, but candidate must have strong quantitative and applied mathematical skills. Certification courses in Data Science/ML will be an added advantage.
In-depth working, beyond coursework, familiarity with statistical techniques and current ML techniques, both supervised and unsupervised learning techniques and other ML Techniques.
Implementation experiences and deep knowledge of Classification, Time Series Analysis , Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization.
Working experience on LLMOps for any GenAI LLM use case would be a clear added advan tage.
Experience in working on modelling graph structures related to spatiotemporal systems
Exposure or Experience in building Recommendation engine in a large scale
Programming skills in Python is a must
Experience in developing and deploying on one or more Cloud Environments (G CP/ Azure / AWS)
Good verbal and written communication skills
Familiarity with well-known Python packages like Pandas, Numpy , etc., and DL frameworks Keras , TensorFlow, PyTorch . And knowledge of Big Data tools and environment.
Knowledge of MySQL/No SQL is an added advantage
Experience on end to end ML models deployment in production
Familiarity with Flask / Django Framework
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