Nowadays, HR expects AI Engineer candidates to be skilled in the following:
• Python
• Oops concepts
• NumPy
• Pandas
• SQL - MYSQL
• Advanced Excel, Power BI
• Statistics, Linear algebra, Vector, Calculus
• Data Cleaning
• Data Pre processing
• Feature Engineering
• EDA
• Matplotlib, Seaborn
• Machine Learning Algorithms
• Time Series Forecasting
• Recommendation system
• Deep Learning : ANN, CNN, RNN, LSTM, Transformer...
• NLP ( Natural language processing )
• GAN
• Model Training, Testing, Deployment
• Git, GitHub, Bitbucket
• AWS [ S3, EC2, EKS, ECS, ECR, Lambda, Bedrock, Sagemaker, Redis, Athena, Batch, ci/cd pipeline, Step function, Lex, Connect and other... ]
• LLM
• OpenAI, Llama, Deepseek
• GenAI
• Vector Database
• NER
• LangChain
• Docker
• Kubernetes
• Knowledge graph
• Sagemaker
• RAG
• Model Context Protocol ( MCP )
• AI Agent
• LLM Fine tuning
• AI products innovative ideas and research
• 5+ years of experience in GenAI
🥺ab bas