Lead Financial Data Scientist

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

About Company We are a fast-paced startup dedicated to transforming the pharmacy and healthcare landscape. We understand the vital role that seamless communication and effective solutions play in enhancing patient care, and we are committed to delivering innovative products that meet the needs of healthcare providers and pharmacies. The Role As a Fullstack Engineer, you’ll play a key role in building and scaling the Company’s core platform. You’ll work closely with the Product and Engineering teams to enhance the app’s performance, optimize the backend, and improve the overall user experience. This role is ideal for engineers with a strong product mindset, who thrive in fast-paced startup environments and love to take ownership from idea to delivery. Responsibilities Design, develop, and maintain full-stack web applications using TypeScript, Nest.js, Next.js, and GraphQL. Ensure code quality through peer reviews, automated testing, and adherence to best practices. Collaborate cross-functionally with product, design, and data teams to deliver new features and optimize existing ones. Proactively identify areas for improvement and suggest solutions that enhance system performance and user experience. Work autonomously while staying aligned with broader product and engineering goals. Tech Stack Languages & Frameworks: TypeScript, Nest.js, Next.js, GraphQL Cloud: AWS or Azure Architecture: Fullstack – balanced focus between front-end and back-end Data: Work closely with databases and optimize data flow for better access and performance What We’re Looking For 4+ years of experience in fullstack development, ideally within startup or product-driven environments. Strong knowledge of TypeScript, Nest.js, Next.js, GraphQL, and cloud platforms (AWS or Azure). Product-oriented mindset and the ability to think beyond the code — understanding the “why” behind each feature. Self-starter with strong communication skills and a proactive, ownership-driven attitude. Comfort working in an agile, fast-moving environment with a high level of autonomy. Fluent English (B2+ level). Accents are perfectly fine — what matters is clarity and collaboration. You’ll Fit Right In If You Are curious, resourceful, and thrive on solving problems. Enjoy working directly with product leaders and contributing ideas. Like having creative freedom — your manager won’t say “no” easily, but will expect ownership and initiative. Can handle multiple priorities and remain calm under pressure (the team is small and collaborative). What Company Offers Opportunity to join a high-impact startup with global reach. Real ownership and freedom to innovate. Collaboration with talented peers in an international environment. Support for your professional growth and continued learning. Equity participation — Company believes in sharing success with those who help build it. Working Hours 09:00 to 18:00 (time according to your location) – Company is based in Austin, TX Success in This Role Looks Like Improving backend performance and overall system optimization. Reducing friction in the app (fewer clicks, smoother navigation). Increasing delivery speed and quality through well-structured code. Building trust with the team and becoming a key technical voice in decision-making.

Production Manager – Logistics Focus (70% Logistics / 30% Events) Remote: Mexico, CDMX We are looking for a Production Manager with strong logistics expertise to lead and execute high‑impact events across Latin America and the Caribbean. This role goes beyond event coordination — it’s about moving equipment, materials, and experiences seamlessly across borders. Key Responsibilities Plan and manage international shipments, customs clearance, and transportation for event materials. Leverage customs contacts across Caribbean islands to ensure fast, efficient operations. Take ownership of the end-to-end production management process, ensuring projects are delivered on time and within budget. Lead and manage production staff, providing guidance, support, and mentorship to achieve high-quality results. Identify, negotiate, and manage relationships with vendors and service providers, securing competitive pricing. Oversee the planning, coordination, and on-site execution of events to ensure exceptional attendee experiences. Develop and monitor budgets, tracking expenses and applying cost‑saving measures without compromising quality. Stay current with industry trends, new technologies, and best practices in both logistics and event production. Identify potential bottlenecks, troubleshoot, and implement timely solutions. Foster strong working relationships with internal teams, clients, and partners to ensure seamless execution. Requirements Proven experience in logistics and event production (ideally 70% logistics, 30% events). Deep knowledge of international shipping regulations and customs processes. Strong vendor management and organizational skills. Fluent English; Spanish preferred. Willingness to travel Think: 70% logistics expert, 30% event producer — 100% delivering success.