Senior Digital Book Translator

About Us: We represent the most talented Latin creators in the United States. Our goal is to help them grow their careers, close major brand deals, and protect their image as talents. We are looking for someone passionate about culture, with a keen eye for potential, and with hands-on experience working with influencers. What You'll Do: Manage the daily relationship with Latin influencers in the United States. Negotiate and close contracts with brands, agencies, and platforms. Coordinate campaigns and ensure talent meets deliverables. Be the point of contact for legal matters, payments, and schedules. Identify growth opportunities for each talent. What We’re Looking For: At least 2 years of experience working directly with influencers. Basic experience in negotiating and signing contracts. Strong communication skills with brands, talent, and internal teams. Organizational skills, follow-through, and positive energy. Intermediate to advanced proficiency in both English and Spanish. Plus (Not Mandatory): Knowledge of influencer marketing in the U.S. Hispanic market. Experience in an agency or talent representation company. Connections within the creator industry. What We Offer: Be part of a powerful network of culture, creativity, and business. Learn from the best team in Latin influencer marketing. Opportunity for rapid growth within the company. Access to events, global campaigns, and high-impact projects.

Job description Key Role: Guardian of Mappa’s visual identity and creator of assets that connect with companies, talent, and VCs. What you’ll do: Design visual assets for social media, landing pages, presentations, and campaigns. Create visual narratives (motion graphics, reels, micro videos) that reinforce our “Behavior-first AI” positioning. Maintain consistency and guide the evolution of the brand across channels. Collaborate with Content and Growth teams to deliver materials that not only look great, but also drive engagement and conversion. Tools you should master (hands-on with the real stack): Design & Branding: Adobe Creative Suite (Illustrator, Photoshop, InDesign) or similar platforms. Motion & Video: After Effects, Premiere Pro, Figma, Canva Pro, or similar platforms. Prototyping & UX/UI: Figma or similar platforms. Collaboration & Deliverables: Miro, Notion, Slack, Google Workspace. Plus: Knowledge of AI applied to design (MidJourney, Runway, Stable Diffusion, or similar tools). What we’re looking for: Experience in digital design and branding for tech or startups, with a portfolio showcasing real impact on US-based brands. Strong visual storytelling skills: ability to turn insights into memorable assets that generate engagement and conversion. Knowledge of motion design and social formats (Instagram Reels, TikTok, LinkedIn). Advanced English (spoken and written): able to collaborate seamlessly with international teams and US clients.

We're seeking an experienced LLM/ML Specialist with deep expertise in LLaMA models or other open source and Retrieval-Augmented Generation (RAG) systems. The ideal candidate will have strong skills in model fine-tuning, prompt engineering, and production deployment of language models. You'll build and optimize RAG pipelines, implement vector databases, and develop efficient inference solutions. Requirements include 2+ years of LLM experience, Python proficiency with PyTorch/Hugging Face, and demonstrated projects involving LLaMA models.   Technical Skills: Deep understanding of LLaMA model architecture and its variants Experience fine-tuning and adapting LLaMA models for specific applications Proficiency in Python and ML frameworks (especially PyTorch and Hugging Face) Knowledge of prompt engineering specific to LLaMA models Experience with efficient inference and quantization techniques for LLaMA Understanding of model deployment and optimization for large language models Expertise in Retrieval-Augmented Generation (RAG) systems and architectures Experience implementing vector databases and similarity search techniques Knowledge of document chunking and embedding strategies for RAG Familiarity with evaluation metrics for RAG systems Qualifications: Machine Learning, NLP, Computer Science, or related field 2+ years of experience working with large language models, preferably LLaMA Strong mathematical background in statistics and probability Demonstrated projects involving LLaMA model adaptation or deployment Excellent communication skills to explain complex concepts Proven experience building and optimizing RAG pipelines in production environments Preferred: Experience with PEFT methods (LoRA, QLoRA, etc.) for LLaMA models Experience with fine-tuning Understanding of model limitations and ethical considerations Experience with LLaMA integration into production systems Familiarity with open-source LLM ecosystems Experience with hybrid search methodologies (dense + sparse retrieval) Knowledge of context window optimization techniques for RAG systems Experience with multi-stage retrieval architectures Responsibilities: Design and implement LLaMA-based solutions for real-world applications Develop, optimize, and deploy RAG systems using vector databases and embedding strategies Fine-tune LLaMA models using techniques like LoRA and QLoRA Create efficient prompt engineering strategies for specialized use cases Implement and optimize inference pipelines for production environments Design evaluation frameworks to measure model and RAG system performance Collaborate with engineering teams to integrate LLMs into product infrastructure Research and implement the latest advancements in LLM and RAG technologies Document technical approaches, model architectures, and system designs Mentor junior team members on LLM and NLP best practices What We Offer: Opportunity to work on cutting-edge LLM and RAG applications Access to computational resources for model training and experimentation Collaborative environment with other ML/AI specialists Flexible work arrangements with remote options Competitive salary and comprehensive benefits package Professional development budget for conferences and courses Clear career progression path for AI specialists Chance to contribute to open-source LLM ecosystem Balanced workload with dedicated research time Inclusive culture that values diverse perspectives and innovative thinking