Artificial Intelligence Lead

• Work
  with LLMs, NLP models, neural networks, and other advanced AI
  techniques.
  
• Build
  scalable data pipelines and automate model training, validation, and
  deployment workflows.
  
• Optimize
  model performance, latency, and accuracy using modern techniques.
  
• Work
  closely with cross -functional teams including Data Engineering, Product,
  and Software Engineering.
  
• Perform
  exploratory data analysis, feature engineering, and experiment tracking.
  
• Integrate
  AI models into applications using APIs, microservices, or cloud -based
  solutions.
  
• Stay updated with the latest advancements in AI,
  ML, and GenAI technologies.
  

Requirements

• 10+ years of hands -on experience in AI/ML engineering.
  
• Strong
  proficiency in Python, ML libraries (NumPy, Pandas, Scikit -learn),
  and DL frameworks (TensorFlow/PyTorch).
  
• Experience
  with LLMs, NLP, transformers, embeddings, and prompt optimization.
  
• Knowledge
  of MLOps tools like MLflow, Kubeflow, Airflow, or similar.
  
• Experience
  in using cloud platforms (AWS / Azure / GCP) for AI model
  deployment.
  
• Hands -on
  experience with vector databases, feature stores, or model
  registries (nice to have).
  
• Familiarity
  with API development, microservices architecture, and
  containerization (Docker, Kubernetes).
  
• Strong
  understanding of algorithms, data structures, and model evaluation
  techniques.