Python with AI & ML Professional

Requirements: Design, develop, test, and refine AI-generated text prompts to maximize effectiveness for various applications.

Ensure seamless integration of optimized prompts into the overall product or system.

Rigorously evaluate prompt performance using metrics and user feedback.

Collaborate with cross-functional teams to understand requirements and ensure prompts align with business goals and user needs.

Document prompt engineering processes and outcomes, educate teams on prompt best practices and keep updated on the latest AI advancements to bring innovative solutions to the project.

Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow. 2-5 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc.

Knowledge of how these models work and how to fine-tune them. Expertise in prompt engineering principles and techniques like chain of thought, incontext learning, tree of thought, etc.

Knowledge of retrieval augmented generation (RAG).

Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues.

Excellent communication skills, both verbal and written in English at a B2+ level for collaborating across teams, explaining technical concepts, and documenting work outcomes.