AI Engineer

Key Accountabilities:

• Assist in the design, development, and deployment of AI models and algorithms to solve complex engineering problems.
• Collaborate with cross-functional teams to gather requirements and understand business needs.
• Conduct data analysis and pre-processing to prepare datasets for model training and evaluation.
• Support the testing and validation of AI models to ensure accuracy and reliability.
• Document processes, methodologies, and results to maintain clear communication within the team.
• Stay updated on the latest trends and advancements in AI and machine learning technologies.

Qualifications & Experience:

• Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• Familiarity with Python, Azure technology stack and use of GenAI frameworks in the platform.
• Deep understanding of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with data manipulation and analysis using tools like Pandas, NumPy, or SQL.
• Strong problem-solving skills and a willingness to learn new technologies.
• Excellent communication and teamwork abilities
• Internship or project experience in AI, language modeling and data science.
• Certifications in cloud computing platforms (e.g., AWS, Azure, Google Cloud) is a plus.
• Understanding of data visualization tools (e.g., PowerBI, Matplotlib) is advantageous.