AI Engineer

Expires on July 25, 2026

• Support development of AI applications using Python and standard ML frameworks
• Assist in developing and training machine learning and GenAI models under guidance
• Document model behavior, datasets, training processes, and versioning
• Collaborate with cross-functional teams for model testing and integration
• Stay updated with emerging AI technologies, tools, and research trends

• Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, IT, Data Science, or related field
• Strong programming skills in Python with understanding of Num Py, Pandas, and Scikit-learn
• Basic understanding of Tensor Flow or Py Torch
• Familiarity with LLM concepts, embeddings, and prompt engineering
• Exposure to tools such as Lang Chain, Hugging Face, OpenAI API, Azure OpenAI Service
• Awareness of cloud platforms such as Azure AI, AWS Bedrock, and Google Vertex AI
• Understanding of responsible AI principles including fairness, bias, and privacy

• Hands‑on exposure to building end‑to‑end AI and GenAI solutions
• Opportunity to work on cutting‑edge technologies including LLMs, RAG pipelines, and agentic AI
• Experience integrating AI systems with enterprise applications
• Collaboration with experienced AI architects and cross‑functional teams

• Develop practical skills in AI/ML and Generative AI model development
• Gain experience in data preparation, model evaluation, and deployment workflows
• Understand AI system design, integration, and lifecycle management
• Build awareness of ethical AI practices and responsible AI implementation
• Enhance problem‑solving, analytical thinking, and collaboration skills