Machine Learning and Prompt Engineering Specialist

Title: Machine Learning and Prompt Engineering Specialist

*Local to MO

Description:

Skills for this job

• Must Have: Ollama, Langchain, Hugging face, Tensor Flow)

• Prompt Engineer: Expert - crafting effective prompts for tasks like role-playing, summarization, classification, reasoning, and creative generation

• Machine learning (model training, fine-tuning) with python, ollama, langchain, huggingface)

• Libraries (e.g. TensorFlow, PyTorch, pandas, ffmpeg, scikit-learn)

• Expert: design, optimize, model training, fine-tuning, LoRA, evaluation, and optimization

• Skills: Generative AI/LLM (Large Language Model, type of machine learning model specifically designed to process and generate human-like text.)

• Deep understanding of LLM behavior, hyperparameters, tokenization, and context windows

• Retrieval augmented generation

• testing experience.

We are looking for a Machine Learning and Prompt Engineering Specialist who will lead the design, training, and optimization of AI models and their interactions. This hybrid role is crucial for shaping the cognitive capabilities of our systems, ensuring they communicate effectively and efficiently. The successful candidate will work closely with cross-functional teams to integrate AI solutions into our products.

1. Required Skills and Experience

3+ years working with LLMs and generative AI

Advanced proficiency in Python and ML capabilities (e.g. Ollama, HuggingFace, LangChain) & libraries (e.g. TensorFlow, PyTorch, pandas, ffmpeg, scikit-learn)- Strong grasp of supervised, unsupervised, and reinforcement learning

Experience with model training, fine-tuning, LoRA, evaluation, and optimization

Deep understanding of LLM behavior, hyperparameters, tokenization, and context windows

Experience crafting effective prompts for tasks like role-playing, summarization, classification, reasoning, and creative generation

Strong communication, documentation, & mentoring skills

1. Desired Skills and Experience

Familiarity with OpenAI, Anthropic, or Cohere APIs

Understanding of data preprocessing and feature engineering

Expertise in crafting prompts for various tasks (e.g., summarization, classification)

Knowledge of prompt tuning and retrieval-augmented generation (RAG)

Experience with A/B testing and user feedback integration

1. Qualifications

Strong communication and collaboration skills

Ability to work with diverse teams, including executives and engineering

Experience in ethical AI considerations and bias mitigation

1. Required Education

Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent practical experience.

1. Skills Glossary

Machine Learning (ML) : A subset of artificial intelligence that enables systems to learn from data patterns and improve their performance on tasks without being explicitly programmed.

Python : A high-level programming language widely used in data science and ML for its simplicity and rich ecosystem of libraries.

Large Language Models (LLMs) : Advanced AI systems designed to process and generate text in a human-like manner, based on massive datasets and complex algorithms.

MLOps : The practice of integrating machine learning system development and operations to streamline deployment, monitoring, and governance.

Prompt Engineering : The art of crafting and refining prompts to enhance the response quality of AI models, optimizing for specific tasks and use cases.