Machine Learning / Prompt Engineer (Ollama, Langchain, Hugging Face and Tensor Flow)

Job Summary (Machine Learning / Prompt Engineer) • Lead the design, training, and optimization of AI models, focusing on generative AI and large language models (LLMs). • Craft, evaluate, and refine prompts for diverse tasks such as summarization, classification, reasoning, role-playing, and creative generation. • Utilize and integrate advanced ML tools and libraries, including Ollama, Langchain, Hugging Face, TensorFlow, PyTorch, and related Python libraries. • Perform model training, fine-tuning (including LoRA), evaluation, and optimization for LLMs. • Apply deep understanding of LLM behavior, including hyperparameters, tokenization, and context windows. • Implement retrieval-augmented generation (RAG) and prompt engineering best practices. • Collaborate with cross-functional teams to integrate AI solutions into organizational products and workflows. • Ensure effective communication, documentation, and mentorship within teams. • Contribute to ethical AI practices and bias mitigation efforts. • Stay updated on industry tools, APIs (e.g., OpenAI, Anthropic, Cohere), and advancements in ML and prompt engineering. • Required: Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent practical experience).