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### About the Role IBM is seeking an **Associate Data Scientist – Artificial Intelligence** to join our team. This role is ideal for fresh graduates and early-career professionals eager to apply data science techniques to solve complex business challenges. You will collaborate with a multidisciplinary team to build Proof-of-Concept (POC) AI solutions, manage large datasets, and explore innovative AI productivity tools. ### Key Responsibilities - Design, develop, and deliver AI/ML POCs that demonstrate feasibility for client problems. - Perform data ingestion, cleaning, transformation, and feature engineering using Pandas and related libraries. - Build, train, and evaluate models with TensorFlow, PyTorch, Keras, or Hugging Face, and benchmark them using Scikit-learn utilities. - Visualize data insights and model performance with Matplotlib, creating clear, stakeholder-friendly dashboards. - Leverage cloud platforms (AWS/Azure) to prototype scalable AI services and manage compute resources. - Utilize generative AI code assistants to refactor legacy code, generate documentation, and accelerate development cycles. - Write comprehensive technical documentation, white-papers, and best-practice guides for each POC. - Collaborate in Agile squads with engineers, consultants, and business analysts to align technical solutions with business goals. - Participate in code reviews, testing, and validation to ensure robustness and compliance with IBM standards. - Continuously learn emerging AI techniques and share knowledge within the team. ### Requirements - Proficient in Python and familiar with AI/ML frameworks such as TensorFlow, PyTorch, Keras, and Hugging Face. - Experience with data manipulation and analysis using Pandas and visualization tools like Matplotlib. - Exposure to cloud services (AWS/Azure) and coding languages such as COBOL and Java is desirable. - Strong problem-solving skills and a passion for innovation in AI technology. ### Benefits - Competitive compensation package and performance bonuses. - World-class mentorship and training programs to enhance your skills. - Opportunities for career advancement in roles such as Senior Data Scientist, AI Solution Architect, or Product Manager. - Engaging work environment with a focus on high-impact projects that shape the future of technology.
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