· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience as an AI Engineer or similar role with a track record of deploying AI solutions, including Generative AI models, in production.
• Strong programming skills in languages such as Python, Java, or C++.
• Proficiency with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data pre-processing, feature engineering, and model evaluation.
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) and their AI/ML tools, especially AWS Bedrock.
• Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience with Generative AI, NLP, and transformer-based models.
• Knowledge of the Langchain technology stack and AWS Bedrock for Generative AI solutions.
• Familiarity with IT Service Management (ITSM) tools and processes, with the ability to integrate AI-driven automation.