What we're looking for
We are seeking a highly skilled LLM / ML Specialist with expertise in designing and implementing machine learning models for semantic search, sentiment analysis, text clustering, and text summarization tasks in Slavic (mainly Russian, Ukrainian) languages. The ideal candidate should possess a strong background in machine learning, natural language processing, and deep learning techniques, along with proficiency in Python and experience with popular ML libraries/frameworks such as TensorFlow, PyTorch, or Keras.
Responsibilities
— Design, develop, and implement machine learning models and algorithms for semantic search, sentiment analysis, text clustering, and text summarization tasks in Slavic (mainly Russian, Ukrainian) languages;
— Train and fine-tune large language models for Slavic (mainly Russian, Ukrainian) languages using transformer architectures like GPT, BERT, or RoBERTa;
— Extract and process social media data as a source for training and evaluating NLP models;
— Build and deploy semantic search systems, sentiment analysis models, text clustering algorithms, and text summarization tasks;
— Utilize techniques such as graph-based ranking, attention mechanisms, and sequence-to-sequence models for text summarization;
— Ensure scalability of ML models by leveraging cloud computing platforms like Google Cloud Platform (GCP).
Qualifications
— Strong background in machine learning, natural language processing, and deep learning techniques;
— Proficiency in programming languages such as Python and experience with ML libraries/frameworks like TensorFlow, PyTorch, or Keras8
— In-depth knowledge of large language models, including transformer architectures like GPT, BERT, or RoBERTa;
— Familiarity with state-of-the-art NLP libraries and frameworks, such as Hugging Face;
— Experience in training and fine-tuning language models for Slavic languages;
— Solid understanding of contextual word embeddings and their applications in NLP tasks;
— Familiarity with data preprocessing techniques like tokenization, stemming, lemmatization, and named entity recognition;
— Strong understanding of statistical and mathematical concepts related to machine learning;
— Proficient in leveraging cloud computing platforms like GCP for ML model development and deployment.
Benefits
— Modern A+ class offices in Lviv and Kyiv;
— Flexible work arrangements (hours, location, remote/hybrid options);
— Competitive market salary;
— Regular collaborations with esteemed institutions such as Tier 1 universities & think tanks, foreign governments, NATO, and the European Commission;
— Opportunities to represent us on the global stage by speaking at numerous international events and conferences;
— Multidisciplinary team, boasting experience from academia, journalism, IT, and intelligence sectors;
— We foster a work culture that values a high level of self-efficacy and independence, with a firm stance against micromanagement.
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