Description

You will build and implement generative AI models to solve complex problems.

Responsibilities

• Develop and implement generative AI models based on functional use cases.
• Perform prompt engineering and design effective prompts for specific applications.
• Handle data manipulation, cleansing, and preprocessing of large datasets.
• Apply statistical analysis, including hypothesis testing and regression, to ensure data integrity throughout the AI/ML lifecycle.

Required Skills

• 5+ years of professional experience in software engineering or data science.
• Proficiency in Python or Java with strong data structures and code comprehension.
• Strong understanding of NLP and Deep Learning, specifically transformer architecture.
• Experience with Generative AI concepts and implementation.
• Familiarity with LLM fine-tuning using models like Dolly or Llama2.
• Hands-on experience with NLP/AI/ML tools, including GPT or BERT.
• Ability to utilize Word Embeddings and Vector Databases (e.g., Pinecone, Milvus).
• Proficiency in statistical techniques such as time series analysis and clustering.

Key Skills

Education

Bachelor's degree