Machine Learning Engineer

Published on Aug 04, 2021

An Outsource company with offices in Kyiv, Ukraine; Kharkiv, Ukraine.

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1-3 years
Job Type:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities

— Collaborate and contribute with other engineers to facilitate the creation of novel architectures
— Building scalable, enterprise-grade implementations using Python and other technologies executing in a multi-server cloud context
— Analyzing data form(architecture), storage, transfer, and representation to improve performance for clients and users
— Work directly with PMs POs, DB engineers, DevOps, engineers, and others, as necessary
— Fully cover (develop, maintain and monitor) the entire lifecycle of created models, сreate production-ready solutions, launch MVPs
— Work with NLP algorithms and data structures
— Mentor and guide other NLP team members if necessary

What You Should Bring

— 3+ year commercial experience with hands-on Python development and NLP
— Solid practical and theoretical knowledge of Statistics, Machine Learning and Deep Learning
— Theoretical understanding, practical implementation of classical NLP and Neutral Network driven NLP
— Familiarity with cloud ML Platforms is a plus.
— Experience with DNN frameworks PyTorch/TensorFlow/torch/pandas
— Understanding of de-normalized database structures and retrieval methods e.g., SQL)
— MS in Computer Science or a related field
— Nice to have: experience with search algorithms/models
— Experience with AWS is a plus
— English: Upper-Intermediate

What You Will Get Benefits

— Great opportunity to work in a strong professional environment;
— Competitive salary;
— Strong technical support of the company’s architectural board and implementation team (UX/UI designers/developers/BA/QA);
— Flexible working schedule. We respect your personal time. So you can start any time till 11 a.m. and finish accordingly till 8 p.m.;
— A friendly international working atmosphere.
— Paid vacation and sick leaves, corporate events;
— We 100% work from home but we have comfortable offices in Kyiv (Kiyanovskiy lane 7a) and Kharkiv (st. Shakespeare, 15-A).

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