Artificial Intelligence Engineer

Key Responsibilities:

• Design, build, and deploy AI/ML models for various business use cases.
  
• Work with large datasets to clean, preprocess, and analyze data for model training.
  
• Implement and fine-tune models using frameworks like TensorFlow, PyTorch, or Hugging Face.
  
• Integrate AI models into production systems and ensure performance, scalability, and reliability.
  
• Develop Generative AI solutions such as chatbots, content generation, and recommendation systems.
  
• Collaborate with data scientists, ML engineers, and software developers to deliver end-to-end AI solutions.
  
• Stay updated with the latest research and developments in AI, ML, and LLMs.
  
• Optimize model performance and implement continuous improvement strategies.
  

Required Skills and Qualifications:

• Bachelors or Master s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  
• 3+ years of experience in AI/ML model development and deployment.
  
• Strong programming skills in Java or Python
  
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
  
• Experience with LLMs (OpenAI, GPT, LLaMA, Claude, etc.) and Generative AI frameworks.
  
• Knowledge of NLP, Computer Vision, or Deep Learning architectures (CNN, RNN, Transformer).
  
• Familiarity with cloud-based AI services (AWS Sagemaker, Azure AI, GCP Vertex AI).
  
• Understanding of APIs, microservices, and model deployment pipelines (Docker, Kubernetes)