AI Engineer

• Develop, train, and optimize Machine Learning and Deep Learning models.
• Design and implement AI solutions using NLP, Computer Vision, and Generative AI technologies.
• Build and maintain data pipelines for model training and inference.
• Fine-tune and deploy Large Language Models (LLMs) for business use cases.
• Develop and integrate AI APIs and microservices into applications.
• Create and manage Retrieval-Augmented Generation (RAG) systems.
• Monitor model performance, troubleshoot issues, and improve accuracy.
• Collaborate with software engineers, data scientists, and product teams.
• Stay updated with emerging AI technologies and industry trends.
• Document AI workflows, model architectures, and deployment processes.

Requirements

• Strong proficiency in Python.
• Experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of NLP, LLMs, Prompt Engineering, and Generative AI.
• Experience with REST APIs and model deployment.
• Familiarity with SQL and database management.
• Understanding of MLOps concepts and CI/CD practices.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Strong analytical and problem-solving skills.

• Strong proficiency in Python.
• Experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of NLP, LLMs, Prompt Engineering, and Generative AI.
• Experience with REST APIs and model deployment.
• Familiarity with SQL and database management.
• Understanding of MLOps concepts and CI/CD practices.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Strong analytical and problem-solving skills.