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Machine Learning Consultant

Presupuesto: - HOURLY / PART_TIME ⭐ 0.00 (0) India

machine-learning, natural-language-processing, python, artificial-intelligence

We're looking for an experienced Machine Learning consultant with deep expertise in Large Language Models (LLMs), prompt engineering, evaluation frameworks, and text generation. Our team has built a system focused on making LLM-generated writing feel genuinely human. Before making changes, we need someone who can first understand exactly what problem we're solving, review our existing approach, identify strengths and weaknesses, and recommend the most effective path forward. This is a research-first consulting engagement. Depending on your findings, it may evolve into hands-on implementation work. What you'll do: Deep dive into our current system and understand the exact problem we're solving. Review our existing architecture, prompting strategy, evaluation methods, and ML pipeline. Recommend improvements backed by research and practical experience. If needed, help implement or prototype solutions. Advise us on best practices for making LLM-generated writing more natural, human, and reliable. You should have experience with: Large Language Models (OpenAI, Anthropic, Gemini, open-source models, etc.) Prompt engineering and prompt optimization LLM evaluation and benchmarking Human-like text generation RAG, fine-tuning, preference optimization, or related techniques (where applicable) Building or improving production ML/LLM pipelines Your proposal must include: Projects you've worked on that are similar to this problem. Proof of work whenever possible (GitHub, case studies, papers, products, websites, company names, or anything you're allowed to share). Your role in those projects. Your availability over the next few weeks. Your hourly rate. A brief explanation of how you would approach evaluating an existing LLM system before suggesting improvements. Important: We've previously invested significant time and budget with consultants who weren't able to deliver the level of expertise we needed. As a result, we're keeping a very high bar for this engagement and will prioritize candidates who can demonstrate relevant, hands-on experience with similar problems.. If there's a good fit, this can become a long-term consulting or engineering engagement. Budget: We're flexible. Initial engagements may range from a few hundred dollars for a focused review to several thousand dollars for the right consultant. Budget will depend on demonstrated expertise and the value you can bring. We're much more interested in finding the right person than selecting the lowest bid.
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