Position: Machine Learning Engineer
Company: TPE, Odessa - The Product Engine
Experience required: 3y
Category: Python
English level: upper
Published: 2021-06-01T00:00:00+03:00

AI/ML Implementation Engineer at EY (Python Cloud Development)

EY is a global leader in assurance, tax, transaction and advisory services. The company is using its products, expertise and systems to build a better working world.  That starts with a culture that believes in giving engineers the training, opportunities and creative freedom to make things better. Interesting, exciting, challenging, long-term projects await you!

Knowledge and Skills Requirements:

Python knowledge, strong experience in the software development
Cloud, DevOps, CI/CD understanding and experience
Ability to speak English

Plus if you have any of those additional skills (or open to learn them):

MLOps and DataOps tooling experience (Azure Machine Learning, Google AI, DVC) 
Deep learning and machine learning fundamentals understanding (over-fitting, IID data)
Understand the fundamentals of NLP (Natural language processing)
Experience in natural language processing, information extraction and text analytics
Experience with machine learning and deep learning libraries such as Tensorflow, Keras, PyTorch, Scikit-Learn, Spacy, NLTK and other open source libraries
Excellent interpersonal and communication skills, ability to travel
Master degree in computer science, engineering, statistics/mathematics or a related

Job Summary: 

The responsibility for this role is to customize and implement solutions centered around Artificial Intelligence technologies - predominantly natural language processing and information extraction. This role will be a part of a larger organization which conceptualizes & develops AI/ML solutions and then pushes them to the market. 
 
Essential Functions of the Job: 

Create, customize, configure and productionize the solutions
Monitor and update machine learning models in production
Deploy and productionize ML models and data pipelines
Advise on system architecture, connectivity, security
Support AI solution development tasks
Stay up to date on the latest trends & technologies in MLOps and AI / ML on the market
Works independently and requires limited supervision
Excels as an individual contributor as part of a team of scientists and software engineers