Senior Machine Learning Engineer – RAGs

Job not on LinkedIn

🔥 0 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Factor Funding Company

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 1996

📦 Logistics

🏭 Manufacturing

💼 Consulting

Logistics • Manufacturing • Consulting

Factor Funding Company is a financial services provider specializing in small business funding through various options such as accounts receivable factoring, asset-based loans, and purchase order financing. By converting invoices and receivables into immediate cash, they help businesses quickly improve cash flow without the lengthy processes associated with traditional lending. Their services cater to the needs of small businesses across multiple industries, allowing them to focus on growth and operations while alleviating cash flow concerns.

📋 Description

• Design, develop, and optimize Retrieval-Augmented Generation (RAG) models for complex, real-world client problems. • Improve RAG model performance through advanced algorithms, innovative techniques, and fine-tuning. • Collaborate with client Data and Engineering teams to build robust machine learning infrastructure. • Work with client leadership to identify and leverage transformative AI/ML opportunities. • Fine-tune and adapt large language models for specific tasks and domains within the RAG framework. • Deploy RAG models into production environments and ensure seamless integration and long-term success. • Apply advanced machine learning techniques, including LLMs, to develop client-tailored AI solutions. • Write clean, maintainable, scalable, documented, and testable code. • Prioritize user experience and customer needs in product development. • Design and develop GenAI product frameworks, including search interfaces, chatbots, and summarization tools. • Build and implement machine learning models and algorithms supporting client growth and success. • Provide technical leadership in identifying and evaluating AI/ML opportunities.

🎯 Requirements

• 5+ years of hands-on experience developing and deploying machine learning models in production environments. • 4+ years of experience with production NLP and deep learning models using frameworks like PyTorch and TensorFlow. • At least 1+ year of experience with Retrieval-Augmented Generation (RAG) and other advanced techniques to optimize model performance. • Proven experience writing production-level code, with strong proficiency in Python. • Expertise in working with large language models (LLMs) such as GPT, Gemini, and Claude, along with proficiency in LLM frameworks like LangChain. • Strong understanding of prompting techniques, and the trade-offs between prompting and fine-tuning. • Experience with cloud platforms such as AWS or GCP (AWS preferred), or equivalent on-premise platforms.

🏖️ Benefits

• Ownership through equity participation. • Annual company retreat. • Education bonus for continuous learning. • Company-wide winter break. • Paid time off. • Optional in-person events and meetups. • Tailored career roadmaps. • High-performance culture.

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume