Data Scientist Engineer

❗️ONLY CANDIDATES FROM UKRAINE❗️

Requirements:- BS/MS degree in Computer Science or related field;

- 2-3 years of experience in Data Science, Machine Learning, or a related role;

- Strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-Learn;

- Experience in Data Analysis

- Experience with Classic ML 

- Experience with NLP frameworks and libraries;

- Proficiency in data visualization tools such as Matplotlib, Seaborn, or Plotly;

- Knowledge of data mining, feature engineering, and whole ML model building lifecycle;

- Hands-on experience with building custom LLM

- Experience with SQL and database management systems (e.g., PostgreSQL, MySQL);

- Strong communication skills and the ability to work in a collaborative team environment

Responsibilities:

- Developing an advanced Large Language Model (LLM)-based intelligent agent

- Analyze large datasets to extract meaningful insights and identify trends and patterns;

- Design, develop, and implement algorithms and predictive models;

- Develop data-driven analysis using statistical and analytics methodologies to solve business problems;

- Building the ML-based solution;

- Work with NLP 

Languages:

- Upper-intermediate level of English (B2)

Would be a plus:

- Hands-on experience with cloud services (GCP/AWS/Azure)

- Experience AI-driven applications with a strong emphasis on RAG (Retrieval-Augmented Generation)

- Experience with TensorFlow and PyTorch

- Design and implement RAG pipelines to significantly improve data ingestion, vectorization, and automated language generation processes

Inquatro - is an innovation partner that provides custom artificial intelligence solutions for businesses. At Inquatro, we believe that artificial intelligence has the power to transform the world. But we also recognize that the emerging tech industry is complex and ever-changing. That's why we founded our company with a singular goal in mind: to help businesses and organizations harness the power of artificial intelligence to drive real-world impact.