Location - Bangalore, IndiaAvesha is a Boston based seed funded startup focused on building a scalable platform to accelerate the performance of applications across hybrid, edge and multi-cloud by creating seamless end-to-end intelligent application overlay network.
Avesha is a Boston based seed funded startup focused on building a scalable platform to accelerate the performance of applications across hybrid, edge and multi-cloud by creating seamless end-to-end intelligent application overlay network. We are looking for a highly skilled developer who has experience in building Machine Learning systems to join our growing team in Bangalore.
Must have BS/MS degree in Computer Science or equivalent with solid understanding of fundamentals of algorithms, operating systems and networking.
At Least 3+ years of experience in the machine learning software development life cycle.
Experience with Reinforcement Learning.
Solid understanding of basic Machine Learning and Deep Learning algorithms and Statistical methods.
Experience with Machine Learning frameworks like Tensorflow and Pytorch using Python and/or C++.
Experience with distributed Machine Learning frameworks and development and deployment of such systems using Kubernetes or Docker.
Knowledge and experience with networking technologies and IP routing protocols is a plus.
Excellent debugging skills of large scale distributed systems software and desire and ability to go under the hood to learn, optimize and debug.
Good outstanding problem-solving and analytical skills with excellent written and oral communication skills.
Working knowledge of cloud systems like AWS, Azure, GCP, etc.
Ability to work in a self-directed manner across multiple teams in a fast paced setting.
The software development engineer will design and develop reinforcement learning algorithms to solve problems in distributed network systems.
Research latest developments and algorithms in RL/ML and document/present the findings and quickly prototype solutions.
Work with other R&D engineers to analyze, implement, benchmark and test various algorithms.
Own modules end to end through design, development, test and performance analysis in an iterative manner.
Take prototype solutions and implement robust, production ready software.