ML Engineer (offline)

Requirements:
● 5+ years of experience in ML engineering / Data Science
● Master’s Degree or Bachelor’s Degree in Engineering or Computer Science or technical
equivalent
● Highly proficient in Python and SQL
● Knowledge of Probability and Statistics
● Expertise, deep understanding and a strong background in more than one Data Science
specialization such as NLP, Time Series Analysis, is a must, Recommender Systems, and
others is a plus
● Highly proficient in PyTorch, Tensorflow ,  Keras
● Experience in modern Deep Learning and Natural Language Processing (NLP)
techniques and frameworks, including Transformers, seq2seq with attention, RNNs,
gensim, fasttext, spaCy, scikit-learn,
● MLOps experience: deployment, serving, tracking, monitoring, production experience
implementing machine learning pipelines and models (building production-ready NLP
systems)
● Experience with databases SQL (e.g. PostgreSQL) and NoSQL databases (MongoDB,
Redis, Elasticsearch, etc.) and data warehousing (Redshift, Snowflake)
● Experience with containerization and orchestration in Docker
● Experience with AWS and deploying into it
● Professional data engineering experience focused on batch and real-time data pipelines.
Data engineering for models creation: data transformation, enriching of data with new
features

● Strong communication and presentation skills, including translation of complex concepts
in clear, concise, and meaningful ways, that a non-technical audience can easily
understand
● Strong interpersonal, analytical, and problem-solving skills to lead teams of data
scientists and software engineers to successful project execution
● Understanding the concept of Software Development Life Cycles of AI projects
● Upper-intermediate English level or higher
Responsibilities:
● Work closely with Product Managers, Data Scientists, and fellow ML Engineers to frame
Machine Learning problems within the business context
● Work closely with ETL developers to identify, capture, collect, and format data from
external sources, internal systems, and the data warehouse to extract features of
interest
● Solve non-trivial ML tasks
● Support and continuously enhance ML software infrastructure: CI/CD, data stores, cloud
services, network configuration, security, and system monitoring
● Support data scientists in deploying new models, monitoring performance and
debugging issues
● Improve the quality of existing models
● Stay up-to-date with research
● Participate in code reviews to ensure code quality and distribute knowledge
● Provide technical leadership and strategic initiatives for your team
● Train, tune and evaluate ML model performance
● Owning the full Data Science life-cycle from conception to prototyping, testing,
deploying, and measuring its overall business value
● Identify accuracy and performance problems and iterate on technical solutions
● Deploy trained models and monitor their performance
● Wrap models into a scaled backend and provide API for external use

The company offers you:
● Competitive salary with regular revisions;
● Long-term employment with paid vacation and other social benefits;

● Direct contract with US company;
● Medical insurance;
● Career and professional growth;
● Possibility to work on interesting projects;
● Coaching sessions to help you reach your goals;
● Attendance at Ukrainian and international conferences and events;

About PlayA

J&Y Team is a recruitment agency.
We are hiring engineers for full-time remote positions in Ukraine, EU, USA.
Working with IT product companies all over the world.

Company website:
https://playa.tech/