Machine Learning Developer Jobs in Hyderabad - Eunimart Multichannel Private Limited

The Eunimart AI team is hiring a Machine Learning Engineering Intern. This is a high-impact role as the Sales prediction, Competition Analysis, Content improvement, and related products are some of the most sought-after services on the Eunimart site and are critical to the company’s mission to create the largest, most-trusted Real-time Research and Suggestion tools in the world

Skills Required:

• Python 

• Tensorflow

• ML(Algorithms) 

• Deep learning concepts

• Numpy, pandas, sci-kit-learn

• Github, Git

• Not mandatory but it would be plus, Should know about tools Spark, Hive, Kafka, Rabbitmq.

• Have demonstrated passion and enthusiasm for Machine Learning and Deep Learning through projects, products, etc. Ability to develop new ML/DL models from scratch.

• Keep up-to-date with the advances in neural networks and particularly their applications to NLP problems

• Be sharp at Algorithm Design and Complexity Analysis, solving new problems with ease with effective and computationally efficient methods

• Enjoy programming and be comfortable with one or more languages such as Python, nodejs etc

• Eager to quickly learn new concepts, languages, tools and technologies as required, for example, the credit underwriting fundamentals or new deep learning frameworks

• Enjoy building products that are generic and can cater to multiple tenants, through appropriate parameterization/abstraction

• Be ready to work on distributed programming and big data frameworks such as Spark and optimize the performance on multiple nodes

• Be excited to work in a startup environment and take end-to-end responsibilities working with the co-team members

You will work on:

• Code highly scalable, machine learning applications - both pipelines and services processing large volumes of data.

• Participate in the entire development lifecycle, from concept to release.

• Collaborate with other engineers in designing and implementing your technical design.

• Explore big data and machine learning techniques, and play with all the data you can get your hands on.

• Follow agile processes with a focus on delivering production-ready testable code in small iterations.

• Use a wide range of cloud-based technologies

• Participate in monitoring the quality and health of your system.