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.