Required Skills:
• Strong data structures and code comprehension in Python or Java.
• Ability to do hands on coding in the interview real-time for given scenario with the right solution approach.
• Proficient in data manipulation and cleansing, preprocess large datasets, handle missing values, perform feature engineering, ensure data integrity.
• AIML strong NLP deep learning concepts with transformer architecture understanding.
• LLM fine tuning exposure on one or few leading LLM like Dolly, Llama2, or any other.
• Experience in developing and implementing cutting edge generative AI models to solve complex problems.
• Ability to perform prompt engineering and designing right prompts based on functional use cases.
• Should have hands on of NLP/AIML tool technologies GPT, BERT, or other language models.
• Should have experience in building GenAI applications.
• Word embedding and vector DB usage with the leading vector DB implementation Pinecone, Milvus, or Pgvector.
• Statistical analysis strong proficiency in statistical techniques and methodologies including hypothesis testing, regression analysis, time series analysis, and clustering.