Associate AI Engineer

Key Responsibilities

• Model Development: Build, train, and deploy machine learning models, including LLMs, NLP, and computer vision models.
  
• System Integration: Develop APIs and integrate AI models into production-level software applications.
  
• Data Processing: Work with unstructured data, manage data pipelines, and utilize tools like Apache Airflow.
  
• AI Optimization: Implement prompt engineering, RAG (Retrieval-Augmented Generation) patterns, and model guardrails.
  
• Collaboration: Work in Agile teams to deliver automated, intelligent systems.
  

Requirements

Required Qualifications & Skills

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a quantitative field.
  
• Experience: 1–3 years of hands-on experience in ML/AI development.
  
• Technical Skills: Proficiency in Python, JavaScript/TypeScript, SQL, and data science libraries (PyTorch, TensorFlow, Scikit-learn).
  
• Cloud Platforms: Experience with Azure AI, AWS, or Google Cloud Platform.
  
• Emerging Tech: Experience with Generative AI, LLMs, and agentic architectures.