AI Specialist

• Over 2 years of practical experience in applying AI to real-world and comprehensive technology solutions

• Expertise in machine learning and deep learning, including technologies such as TensorFlow, Python, and NLP

• Proficient in programming languages commonly used in AI, such as Python, R, and Java

• Hands-on experience with machine learning frameworks such as TensorFlow and PyTorch

• Strong knowledge of fundamental algorithms, object-oriented and functional design principles, and best-practice patterns

• Skilled in essential techniques for ML projects, including data preprocessing, feature engineering, and model evaluation

• Experienced with version control systems (e.g., Git) for effective team collaboration and code management

• Internal tools automation (e.g., co-pilots for operations, workflow optimization)

• Smart form filling, rule generation, and automated data extraction

• Development of generative AI tools using large language models (LLMs)

• Construction of Retrieval-Augmented Generation (RAG) systems

• Design of agents using LangChain and implementation of Graph RAG architectures

• Building embedding-based search infrastructure using vector databases such as Chroma and Weaviate

• Prototyping and PoC development leveraging open-source LLMs or APIs (e.g., OpenAI, Anthropic, Cohere, Gemini, Copilot)

• Integration of simple UI using tools like Git and lightweight front-end frameworks

• Hands-on experience with chatbots, intelligent document processing, and agent-assist tools

Awign Expert