AI Engineer

• Programming Expertise:
  • Proficient in Python with demonstrated experience in AI and ML development.
• GenAI and LLMs:
  • Strong expertise in GenAI concepts, including the design, deployment, and optimization of Large Language Models (LLMs).
• NLP Skills:
  • Advanced knowledge of NLP techniques for text analysis, summarization, and contextual understanding.
• RAG Expertise:
  • Hands-on experience with Retrieval-Augmented Generation (RAG) to enhance knowledge retrieval systems.
• Tools and Frameworks:
  • Proficiency with AI frameworks like TensorFlow, PyTorch, Hugging Face, or similar.

Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI solutions.

• DevOps and MLOps:
  • Knowledge of deploying AI models in production environments using MLOps best practices.
• Data Engineering:
  • Familiarity with data preparation, preprocessing pipelines, and working with unstructured datasets.
• Agile Methodologies:
  • Experience working in Agile development environments for iterative delivery.
• Soft Skills:

Strong problem-solving skills, attention to detail, and ability to communicate complex concepts to technical and non-technical stakeholders.