Genius Match

Our client is a fast-growing, fast-paced software development organization with a mission to build new ways of interacting with information. They leverage intellectual property and their cloud infrastructure expertise to successfully accomplish this task. Together, they build and support products that address complex, real-time data and analytics needs in the enterprise. Their teams are comprised of successful people who enjoy solving problems, engaging in substantive technical discussions and have passion for their work. Our client has very high expectations in terms of skill, motivation, self-organization, and productivity. They are looking for people who excel working in groups, virtual and collocated, as well as those who are comfortable with fast-paced agile development. 

As a Senior Data Scientist, you join a dynamic and agile team in the development of new products. This role will be responsible for independently designing, developing, and deploying generative AI, NLP, and machine learning models and will serve as a technical leader in generative AI and large language models.

 

Responsibilities:
 

• Key contributor in evaluation, fine-tuning, and deploying Generative AI such as Large Language Models (LLM) in an application environment;
• Build AI-enabled applications that utilize AI agents, RAG, and Prompt Engineering strategies;
• Design, develop and evaluate machine learning models suitable for text analytics tasks such as extraction, disambiguation and classification;
• Hands-on contributions to the design of solutions that fit the business problem, may include custom algorithm development;
• Develop new features for existing products, implement proof of concept and prototypes;
• Work closely with product development teams and product stakeholders following an Agile product development methodology;
• Effectively communicate with fellow technologists and other stakeholders.

Requirements:
 

• 6+ years experience (inclusive of relevant academic projects) in information extraction, NLP, statistical data analysis and predictive modeling;
• Experience with LLM’s including at least one of the following techniques/tools:
  • Agentic AI, Retrieval Augmented Generation (RAG), Prompt Engineering, Fine-tuning;
• Implementing and deploying standard NLP systems for text classification, entity extraction, sentiment analysis, etc. with extensive experience in:
  o  Collecting and preparing training data;
  o  Training supervised and unsupervised models;
  o  Optimizing model hyperparameters;
  o  Analyzing errors for machine learning models.
• Hands-on practical experience deploying generative AI;
• Real-world application of deep learning to train NLP models;
• Non-trivial project experience in text analysis, information extraction, entity extraction, machine learning and natural language processing;
• Strong working knowledge of Bayesian Statistics, Supervised and Unsupervised Machine Learning, and Deep Learning;
• Strong programming skills required in Python, at least one other language like Java, Go, or C++ is desired;
• Tools/Libraries: NumPy, Pandas, Scikit-Learn, NLTK, Gensim, SpaCy, PyTorch, Jupyter Notebooks, llama index, Huggingface Transformers;
• Experience with SQL, NoSQL databases;
• Strong cross-platform skills (Linux and Windows);
• Experience developing software within an Agile product development environment;
• Education: MS or PhD in Computer Science, or related field or experience.

Preferred:
 

• Preferred 3+ years’ experience developing commercial software products.
  
  We offer:
• Competitive market salary;
• Fully remote work;
• Convenient and somewhat flexible work hours;
• 28 days of paid time off per calendar year;
• Working on a very socially valuable product, alongside a highly professional, US-based, international team;
• Interesting challenges and the ability to grow and learn.

• Competitive market salary;
• Fully remote work;
• Convenient and somewhat flexible work hours (you will have to work until 20:00 Kyiv time GMT+3, or 1 pm EST);
• 28 days of paid unbillable time per calendar year;
• Working on a very socially valuable product alongside a highly professional, US-based, international team;
• Interesting challenges and the ability to grow and learn.