AI Engineer

Key Responsibilities

• Design and deploy AI/ML models into production using MLOps best practices
• Collaborate with teams to optimize models and performance
• Integrate ML models into apps, platforms, or databases
• Clean, prepare, and analyze structured and unstructured data
• Set up and manage AI infrastructure
• Write production-level code and ensure systems are scalable and secure
• Monitor model performance and suggest improvements
• Stay current with AI/ML trends and tools

Qualifications

• Degree in Computer Science, Engineering, or related field (Masters in AI/ML is a plus)
• Experience in roles like AI Engineer or Data Scientist
• Proficient in Python, Java, etc.
• Experience with TensorFlow, PyTorch, Azure, or GCP
• Familiar with the ML lifecycle and MLOps tools
• Strong in algorithms, data structures, and problem-solving
• Hands-on with LLMs like GPT