Data Scientist - Artificial Intelligence

IBM

Romania · Full-time · Mid-Senior

Introduction

Data Scientist & Generative AI Practitioner with expertise in statistical modeling, machine learning, and advanced analytics. Skilled in leveraging large-scale datasets and state-of-the-art AI techniques, including transformer-based architectures and large language models (LLMs), to solve complex business problems. Experienced in fine-tuning and deploying generative AI solutions for tasks such as text summarization, content generation, and intelligent automation.

Your Role And Responsibilities

Data Exploration & Preparation – Collect, clean, and preprocess structured and unstructured datasets to ensure high-quality inputs for analysis and modeling.
Model Development – Design, train, and evaluate machine learning and generative AI models, including fine-tuning LLMs for domain-specific applications.
Business Problem Solving – Work with stakeholders to frame business questions into data science problems and deliver solutions that drive measurable outcomes.
Collaboration – Partner with engineering, product, and analytics teams to integrate AI solutions into workflows and products.
Continuous Learning – Stay updated with the latest research and best practices in AI, machine learning, and data engineering.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

Minimum 3 years of experience in Machine Learning and AI model development
Experience with Machine Learning Frameworks and Libraries(PyTorch, TensorFlow, scikit-learn)
Experience wit Deep Learning Architectures
Experience with NLP & Generative AI
Experience with Data Analysis libraries(pandas, numpy)
Solid Python programming skills

Preferred Technical And Professional Experience

Experience with at least one cloud provider(AWS, Google, Microsoft, IBM)
Experience with relational, non-relational, vector databases

Key Skills

Ranked by relevance

ai machine learning deep learning data analysis tensorflow python cloud

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