Job Summary: Work as a Data Scientist, developing AI and Machine Learning models, applying statistical techniques and programming to solve complex problems and build predictive and recommendation algorithms, including work with LLMs in GenAI. Key Highlights: 1. Developing AI and Machine Learning models for clients. 2. Mentoring junior team members and participating in the Deployment phase. 3. Proficiency in Python, Pandas, Scikit-learn, TensorFlow, and Spark. **Role in the Company:** Work as a Data Scientist for clients, developing AI and Machine Learning models. This includes applying statistical techniques, data modeling, and programming skills to solve complex problems, build predictive and recommendation algorithms, work with LLMs in GenAI, etc. **Responsibilities:** * Proficiency in Python, Pandas, Plotly, Scikit-learn, and TensorFlow; * Skills in preprocessing, feature engineering, and time series analysis; * Contribution to the TDSP methodology and facilitation of meetings; * Mentoring junior team members and contributing to the Deployment phase; * Independent execution of analyses, detailed scoping, and client interaction; * Technical documentation, presentations, and participation in resource estimation; * Data collection and preprocessing from diverse sources; * Experience with Big Data tools such as Apache Spark; * Advanced statistical analysis, regression, and principal component analysis; * Independent machine learning modeling with emphasis on sophisticated models and deep learning; * Rigorous model evaluation, regularization techniques, and ensemble methods; * Effective communication of complex insights using advanced visualization tools; * Proficiency in cloud platforms, pipeline optimization, and large-scale ML solution implementation. **Requirements:** * English proficiency at B2-C1 level (Upper-Intermediate to Advanced) for conversation; * Proficiency in Python, with focus on functional and object-oriented programming; * Advanced experience with Pandas, Plotly, Scikit-learn, and TensorFlow; * Competence in preprocessing, feature engineering, and time series analysis; * Familiarity with and contribution to the TDSP methodology; * Ability to facilitate Business Understanding meetings and present results; * Capability to mentor junior team members and contribute to the Deployment phase; * Independent execution of analyses, detailed scoping, and client interaction; * Technical documentation, presentations, and participation in resource estimation; * Data collection and preprocessing from diverse sources; * Experience with Big Data tools such as Apache Spark; * Competence in modeling classification and regression problems; * Experience in Generative AI projects; * Rigorous model evaluation, regularization techniques, and ensemble methods; * Effective communication of complex insights using advanced visualization tools; * Proficiency in cloud platforms, pipeline optimization, and large-scale ML solution implementation. **Preferred Qualifications:** * Microsoft Certified: Azure AI Engineer Associate certification; * Azure Data Engineer Associate certification; * Experience in complex data analytics and machine learning projects; * Contribution to data pipeline process optimization and efficiency improvements; * Involvement in research initiatives and implementation of new technologies; * In-depth knowledge of deep learning frameworks such as TensorFlow or PyTorch; * Implementation of large-scale ML solutions using AWS, Azure, or Google Cloud; * Independent machine learning modeling with emphasis on sophisticated models and deep learning.