Position: Machine Learning Engineer
Company: United Software Solutions
Experience required: 3y
English level: upper

We are building a product that processes data from different sources and analyzes the text. As a Machine Learning Engineer, you will be supporting the team by translating business ideas to build AI-powered solutions that directly contribute to our product. We are looking for software engineers with experience in machine learning tools and NLP technologies. This job is ideal for someone who is innovative. Prefers working in unconventional ways or on tasks that require creativity.

Responsibilities:
— Understand the pros and cons of different ML engines/models.
— Research and implement cutting edge NLP solutions to solve open-ended problems.
— Provide technical direction to teams related to AI/ML solutions and also should be able to implement.
— Help shape the direction of machine learning and artificial intelligence at PB.

Requirements:
— 3+ years of experience as a machine learning engineer.
— Experience with building applications in programming languages such as Python, Java.
— Experience with building ML models using frameworks such as PyTorch or TensorFlow.
— Experience with NLP frameworks such as AllenNLP, spaCy, Gensim, Flair.
— Experience with AI models such Word2Vec, FastText, ELMo, BiLM, Deep Neural networks.
— Experience with software development best practices such as version control technologies, agile.
— Experience or knowledge with web scraping and crawler data extraction.
— Good communication skills.

Nice To Have:
— Experience with working in cloud computing environments AWS.
— Experience with search engines such as Elasticsearch.
— Experience with developing REST-based APIs.
— B.S. (or Masters) in computer science.

What we offer:
— Premium medical insurance;
— Fitness club membership;
— 24 calendar days of vacation per year;
— 15 paid sick leaves per year;
— State holidays;
— Company legal and accounting support;
— Flexible working hours without time trackers;
— Office breakfasts, snacks, beverages, and cheer-up events;