Senior NLP Engineer (Dating app)

 (SDG) is a global technology company that builds apps at the intersection of dating, social, and entertainment. The company's portfolio includes 70 social discovery platforms with a focus on AI, game mechanics, and video streaming. We actively support and invest in social discovery startups worldwide through our CVC fund.
More than 500 million people in 150 countries enjoy our products, and we strive to have ten times as many.in social discovery technology startups around the world.  include 
We solve the problem of loneliness, isolation, and disconnection with the help of digital reality.
Our works all over the world. Together, we are solving the prevalent problem of loneliness and shaping Social Life 3.0 — a new digital reality where people will be able to fulfil their needs for communication and attention from other people and artificial life forms.
Our teams of digital nomads live and work remotely from 

We are looking for a for one of our investment products.

Increase the effectiveness of the suggestion system in user dialogues by providing the best options for continuing the conversation, optimized for relevance and likelihood of dialogue continuation.

• Participation in the development and refinement of the ML service architecture to achieve the set goals.
• Creation and integration of the necessary ML models into the overall system for predicting the best dialogue continuation options.
• Configuration of the model training process to continuously improve the quality of suggested prompts.
• Integration of the system with related services.
• Data collection and preparation required for machine learning model training.
• Participation in the deployment and implementation of the developed solutions.

• Proficiency in mathematical algorithms of machine learning, understanding the fundamental model types, and assessing their performance criteria.
• Practical experience in applying basic NLP concepts (n-grams, skip-grams, tf-idf, etc.).
• Experience in developing components for dialogue systems;
• Experience in fine-tuning open-source models (Llama, Falcon, Vicuna, MPT, Zephyr, Mistral, etc.);
• Practical experience in the development and deployment of microservices.
• NLP domain expertise.
• Proficiency in Python.
• Knowledge of machine learning libraries (Scikit-learn, Pandas, Matplotlib, Numpy, Scipy, Sklearn).
• Familiarity with the Deep Learning framework PyTorch.
• Proficient use of the Linux/Unix operating system and version control system git.
• Ability to independently construct a pipeline.

•  to work full time;
•  28 calendar days per year;
•  (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
• for recommending successful applicants for positions in the company;
• Full payment for 
• Corporate discount for 
• ​If you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee, according to the paychecks. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
• ​The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
• receive bonuses from colleagues and exchange them for time off, merch, team building activities, massage certificates, etc.