Position: Senior ML Engineer (NLP & Conversational Systems)
Company: Grid Dynamics
Category: Data Science
Experience required: 3y
English level: upper

The tasks that we solve within NLP / Conversation Systems are:

Development of custom dialogue systems based on open-source technologies and models;
Contextual dialog management, intent classification, NER, semantic search, question answering;


Challenges we face: dataset development, contextual, domain adaptation, flexible architecture, functional testing;

We have a blog post on this topic: https://blog.griddynamics.com/how-we-built-a-conversational-ai-for-ordering-flowers/

Please check the description for this position.

Responsibilities:
Plan R&D process to fit sprint goals as well as the project milestones;
Design a new solution architecture for customers clusterization, NLP and prediction analysis;
Drive the collection, cleaning, processing and analysis of new and existing data sources;
Develop and test ML models using Python/Keras/Tensorflow/Spark stack;
Communicate with business stakeholders/clients to clarify their requirements and present the team work results;
Participate in pre-sale activities and interact  with a customer;


Requirements:
Machine Learning Engineer/Data Scientist with 5+ years of experience;
Strong practical knowledge of analytical techniques and methodologies such as machine learning (supervised and unsupervised techniques), segmentation, time series modeling, response modeling, lift modeling, survival analysis;
Experience with look-alike modeling and sequential-input models (eg LSTM);
Experience with Python/Jupyter, Tensorflow, keras, scikit, gensim, stanfordNLP;
Good communication skills and interpersonal skills;

Nice to have:
Strong working knowledge of SQL, Teradata;
Experience with NLP((word2vec, CNN, RNN, Transformers) approaches and Conversational Systems;
Understanding of and experience with customer intelligence & marketing domains;
Ability to travel to the US on business trips is strongly preferred;
We offer:
Opportunity to work on bleeding-edge projects;
Work with a highly motivated and dedicated team;
Very competitive salary
Trips to the US;
Flexible schedule
Medical insurance
Benefits program
Corporate social events
Professional development opportunities
Here you may read our  another article related to DS/ML:

https://blog.griddynamics.com/how-we-built-a-conversational-ai-for-ordering-flowers/