ML Engineer

04 Октября

Партнерские Вакансии

Компания "КЛАРИТИ / CLARITY"

We are looking for talent!

CLARITY is an IT consulting company, which was established in 2012 in Riga, Latvia. We have offices in Mauritius and in Belarus. CLARITY is market-leading consulting company in Quote-to-Cash space. CLARITY is leveraging leading technology platforms and helping companies around the world to transform customer experience by empowering sales and creating new monetization opportunities through subscription model implementation. CLARITY subscription management solutions enable smooth transition to outcome-based subscription sales allowing leading enterprise brands to gain a competitive advantage and grow recurring revenues with new business models, new products, and new services.

We are looking for a ML Engineer!

REQUIREMENTS:

• You are knowledgeable about production-grade Machine learning inference and model training lifecycle.
• A minimum of 4 years of hands-on experience in production projects as a Machine Learning Engineer, Data Engineer, or Data Scientist.
• At least 5 years of overall experience in software development.
• Strong experience in Python programming language.
• Strong experience in PyTorch or Tensorflow.
• Strong experience in NLP and/or CV (not only GPT & BERT-like models).
• Strong experience with the following libraries: numpy, pandas, opencv, spacy, nltk, scikit-learn.
• Experience with generative models (GPT) and prompt engineering.
• English language (Intermediate and higher).
• This is a full-time position requiring exclusive commitment.

GOOD TO HAVE:

• Experience with Azure Cloud services (or alternative)
• Experience with OpenAI platform (or alternative).
• Experience with HuggingFace.
• Experience with data processing pipelines.
• Knowledge of data analysis, statistics and data visualisation (descriptive statistics, statistical tests, plotting, dashboards, etc.).

RESPONSIBILITIES:

• Automatization of information extraction from digital born and scanned documents in various formats (PDF, Excel, Word, Images etc.).
• Building prediction and recommendation models based on the input data and user behaviour.
• Building ML/data pipelines and datasets according to business requirements.
• Analysing and visualising the data and presenting the result to the team.

WE OFFER

• Office in the city center Minsk;
• Parking space for each employee;
• Snacks, fruits, coffee in the office;
• Competitive remuneration package;
• Training, certifications and individual personal development plan;
• Health insurance;
• Phone number paid by the company;
• English classes.