• 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.

Role Description We are seeking an experienced AI Lead Engineer to drive the design, development, and implementation of AI-powered solutions across our internal and clients products. This role combines deep technical expertise in artificial intelligence with strong architectural thinking and leadership capabilities. The ideal candidate will be responsible for translating business problems into scalable AI systems, working closely with clients and internal teams, and gradually evolving into a broader technical leadership role overseeing full development teams. Key Responsibilities - AI Solution Design & Implementation - Design and implement AI-driven systems - Define AI architecture, model selection, and data pipelines - Integrate AI services into existing platforms and workflows - Ensure performance, scalability, and reliability of AI systems - Discovery, Estimation & Pre-sales - Participate in discovery sessions to identify AI opportunities and define solutions - Estimate effort, complexity, and feasibility of AI-based features - Translate business requirements into AI/ML use cases and technical approaches - Support sales and pre-sales activities with technical expertise and solution proposals - Client Communication - Act as the main technical point of contact for AI-related topics - Explain AI concepts and limitations clearly to non-technical stakeholders - Define expectations around accuracy, performance, and model behavior - Identify risks (data quality, bias, model drift) and propose mitigation strategies - Team Leadership & Development - Lead and mentor engineers working on AI and data-driven features - Establish best practices for AI development, experimentation, and deployment - Collaborate with product managers, designers, and backend/frontend teams - Participate in hiring, interviews, and team scaling - Technical Oversight & Governance - Define standards for AI architecture, model lifecycle, and data handling - Oversee model training, evaluation, deployment, and monitoring - Ensure proper versioning, testing, and reproducibility of AI systems - Stay up to date with emerging AI technologies, frameworks, and industry trends - Evolution into Broader Technical Leadership - Gradually take ownership over wider system architecture beyond AI - Contribute to full-stack and platform-level technical decisions - Support and eventually lead cross-functional development teams - Align AI strategy with overall engineering and business goals Qualifications - Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field - 6+ years of software engineering experience - 3+ years of hands-on experience in AI/ML development - Strong understanding of: - Machine learning fundamentals - Model evaluation and metrics - Data pipelines and preprocessing - Experience with cloud environments (AWS, Azure, or GCP) - Proven experience delivering production-grade AI systems Preferred Skills - Experience with: - LLMs (OpenAI, Claude, open-source models) - Computer vision (image classification, object detection) - MLOps tools and pipelines - Knowledge of vector databases, embeddings, and retrieval systems - Familiarity with Python AI ecosystem (TensorFlow, PyTorch, etc.) - Strong architectural and problem-solving mindset - Ability to balance innovation with practical, business-driven solutions What We Offer - Competitive compensation and performance-based bonuses - Opportunity to build and shape AI capabilities within the company - Clear path toward Technical Director / Head of Engineering roles - Work on high-impact projects across industries including AI, fintech, automotive, and digital platforms - Opportunity to represent the company at global tech and AI conferences - Collaborative and fast-growing environment focused on innovation