Core Competencies

• Strong foundation in AI techniques, including machine learning, natural language processing, and generative AI.
• Hands-on expertise in Python or R, with practical use of ML libraries such as TensorFlow, PyTorch, or scikit-learn.
• Skilled in data management using SQL and the pandas library.
• Proficient in building visual data insights using Tableau, Power BI, matplotlib, or similar tools.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud; MLOps experience is a bonus.
• Strong attention to detail, with the ability to organize and prioritize tasks to meet deadlines.
• Capable of sound decision-making and solving complex technical challenges.
• Excellent written and verbal communication skills with experience in technical documentation.
• Team-oriented, able to collaborate with cross-functional roles such as developers, architects, and project managers.
• Understands how to align technical outputs with business goals and translate requirements into real-world solutions.