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.