AI, Engineer

Role Overview

Key Responsibilities

• Design, develop, and implement solutions using machine learning, deep learning, and big data analytics.
• Develop and maintain end-to-end AI pipelines from data collection and preprocessing through model training and deployment.
• Analyze large and complex datasets to provide actionable solutions.
• Integrate AI solutions with existing systems to improve efficiency and innovation.
• Work with cross-functional teams and guide or train team members in AI-related fields.
• Optimize model performance, scalability, and reliability in production environments.
• Track and evaluate AI model performance to support continuous improvement.

Requirements

• A bachelor's degree in Computer Science, Engineering, or a related field is required.
• Experience with TensorFlow, PyTorch, and Scikit-learn is required.
• Strong Python programming skills and in-depth knowledge of machine learning and deep learning algorithms are required.
• The candidate must be able to work with and analyze big data.
• Familiarity with REST APIs, Git, and software engineering best practices is required.
• Experience with MLOps, Docker, Kubernetes, and CI/CD deployment pipelines is required.
• Experience with large language models, generative AI, or prompt engineering is required.
• Understanding of data privacy, security, and responsible AI principles is required.

Job Location

• The role is based at the client site.