• Lead the development of applied AI and GenAI capabilities across our products, including LLMs, agents, RAG, and AI-driven data solutions • Design, build, and operate end-to-end ML/AI pipelines—from experimentation to production, monitoring, and continuous improvement • Create scalable backend systems, observability, and evaluation frameworks that power GenAI across the company • Collaborate with AI, data, platform, and product teams to deliver AI solutions that meaningfully improve customer outcomes • Influence architecture and technical direction while mentoring engineers and raising the bar for engineering excellence • Drive innovation while balancing delivery, quality, and operational stability in a fast-moving environment

• Train and fine-tune LLMs using supervised fine-tuning (SFT). • Work with open-source models such as LLaMA, Mistral, Qwen, and similar architectures. • Build LoRA / Q-LoRA pipelines for efficient fine-tuning. • Implement and optimize data preprocessing workflows, including tokenization and long-context handling. • Use and extend Hugging Face Transformers & Datasets for training and inference. • Parse and process structured and semi-structured data, including XML/XSD files. • Implement document parsing solutions for Office formats (python-docx, OpenXML). • Deploy, run, and maintain models fully offline and in air-gapped environments. • Perform model optimization and quantization (GGUF, GPTQ, AWQ, bitsandbytes). • Build and maintain inference systems using frameworks like vLLM, TGI, and Ollama. • Optimize GPU usage (CUDA, cuDNN, VRAM-aware batching). • Maintain local CI/CD pipelines for ML models without cloud dependencies. • Manage local model registries, versioning, and artifacts. • Build backend services in Python for ML training and inference workflows. • Work with relational databases (Postgres/MySQL). • Use Docker and Git for reliable development and deployment pipelines. • Use Azure DevOps for CI/CD (including local runners when applicable).

• Own the end-to-end systems that generate and process restaurant imagery and video at scale. • Build a style system (presets + guidelines) that creates beautiful, brand-appropriate outputs across restaurant types. • Go deep with models and prompting to push quality, consistency, and creative range. • Ship pipelines and tooling for iteration, QA, and post-processing (upscaling, cleanup, framing, compression). • Build evaluation loops (rubrics, goldens, review) so creative quality improves continuously. • Partner closely with Engineering, Design, AI, and Launch teams to turn creative generation into a durable product advantage.

Role Description Jala University is an innovative initiative designed to narrow the gap between academia and industry by providing a practical education that is tailored to meet the demands of the industry with a unique educational model embracing and unifying both academy experts with industry experts. We seek to transform the economies of underprivileged regions through the software industry, creating professional opportunities with an impact on the lives of people, communities and regions, thinking of leaving a legacy for future generations. Qualifications - Certification in Teaching English as a Second/Foreign Language of at least 120 hours (e.g., TESOL, CELTA, TEFL certifications). - Minimum 4 to 5 years of direct experience teaching ESL/EFL classes. - Preferably 3 to 5 years teaching experience in the computer science engineering field. - Experience working with adult students or college-level students. - Strong interpersonal and communication skills. - Ability to work collaboratively with faculty, academic staff, and students. - Knowledge of current trends in best practices in the field of ESL. - Experience required in online teaching. - Experience using Canvas or another LMS. - Fluent in English and Spanish. Requirements - Remote work modality (home office). Benefits - Joining a dynamic and growing organization with international reach.