AI Engineer

Design, develop, test, and deploy AI and machine learning models and solutions.

• Build AI-powered applications using Python and AI frameworks.
• Collect, clean, process, and analyze data for AI model training and evaluation.
• Implement machine learning and deep learning algorithms to solve real-world problems.
• Work with Large Language Models (LLMs), Generative AI, and prompt engineering techniques.
• Integrate AI models into existing software systems using APIs.
• Evaluate and improve AI model performance, accuracy, and efficiency.
• Collaborate with cross-functional teams, including software engineers, data scientists, and product teams.
• Maintain technical documentation and adhere to software development best practices.
• Support the deployment, monitoring, and continuous improvement of AI models.
• Utilize strong programming skills in Python and knowledge of relevant libraries (e.g., Pandas, NumPy, Scikit-learn).

Apply understanding of machine learning concepts, data preprocessing, feature engineering, and model evaluation.

• Use familiarity with deep learning frameworks (TensorFlow, PyTorch, Keras) and database/SQL skills.
• Leverage experience with REST APIs and application integration.
• Demonstrate strong analytical, problem-solving, and communication skills.
• Preferred: experience with Generative AI, LLMs, LangChain, Hugging Face, cloud platforms, Docker, Kubernetes, MLOps, and CI/CD pipelines.
• Education: Bachelor’s or Master’s in Computer Science, AI, Data Science, IT, or related field; relevant projects or internships are a plus.