• Update training and test model databases with new or amended synthetic textual and image data. • Modify and refine machine learning data creation, annotation, and rating guidelines. • Initiate model training processes using internal tools and command-line interfaces. • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment. • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. • Handle data efficiently, ensuring its integrity throughout the workflow. • Engage in data relevance tasks, ensuring data sets are aligned with project goals. • Annotate data accurately, ensuring it adheres to set guidelines. • Conduct manual quality analysis of model results. • Recognize error patterns and report anomalies for further investigation. • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team. • Implement basic quality control measures and ensure the reliability of processed data. • Utilize intermediate data analysis techniques to extract insights and inform decision-making. • Apply basic knowledge of natural language processing and linguistics to data processing tasks. • Ensure linguistic accuracy in all processed and annotated data.

Role Description Buscamos un/a Especialista en Automatización de Procesos con IA capaz de transformar procesos de negocio reales en soluciones automatizadas, robustas y escalables. Una persona muy práctica, con experiencia demostrable llevando automatizaciones a producción, que combine automatización, integración de sistemas e inteligencia artificial con foco en eficiencia y reducción de errores. - Analizar procesos de negocio junto a los equipos de finanzas, operaciones, RRHH y otros departamentos. - Detectar oportunidades de automatización con alto impacto en eficiencia, calidad y escalabilidad. - Diseñar soluciones combinando: - Automatización de procesos (RPA / workflows). - Inteligencia Artificial (LLMs, clasificación, extracción y procesamiento de información). - Desarrollar e implantar soluciones end-to-end, desde el análisis hasta la puesta en producción. - Integrar distintos sistemas corporativos: - ERP (especialmente SAP Business One). - CRM y otras aplicaciones de negocio. - APIs REST y servicios externos. - Conectar flujos de automatización con modelos LLM (OpenAI, Claude u otros) para procesamiento de documentos y toma de decisiones. - Asegurar que las soluciones sean mantenibles, seguras y escalables. Qualifications - Experiencia real creando automatizaciones en producción con n8n. - Capacidad para integrar sistemas mediante APIs REST (autenticación, JSON, servicios externos). - Experiencia usando IA / LLMs (OpenAI, Claude u otros) dentro de flujos para: - Procesar documentos. - Clasificar y extraer información. - Perfil autónomo y resolutivo capaz de analizar un proceso, diseñar la solución e implementar. - Ingeniería Informática, FP Superior (DAM/DAW) o perfil autodidacta. - Muy valorable conocimientos y experiencia en: - Automatización de procesos financieros o administrativos. - OCR y extracción de datos (facturas, documentos). - Ecosistema Microsoft (Graph API, Teams, SharePoint). - Consultoría o empresas de servicios IT. Benefits - Contrato estable. - Proyectos reales de automatización e IA con impacto directo en el negocio. - Crecimiento profesional en un entorno de innovación aplicada, no experimental. - Equipo de apoyo y oportunidades reales de crecimiento. - Modalidad en remoto.

Role Description As an Instructor at Simplilearn, you will play a key role in shaping the future of aspiring Artificial Intelligence professionals. Specifically, you will deliver content from our Applied AI Program, designed to help learners master the practical applications of AI, machine learning, and generative AI technologies across industries. In this role, you will: - Conduct live online sessions, guide learners through hands-on projects and capstone assignments, and mentor them on applying AI techniques to solve real-world problems. - Engage with learners through interactive discussions, case studies, and demonstrations covering topics such as machine learning, deep learning, natural language processing, computer vision, and generative AI. - Help bridge the gap between theoretical understanding and industry implementation, empowering professionals to design, train, and deploy AI-driven solutions effectively. This is a part-time, remote role. All sessions are conducted live online in an interactive, instructor-led format. Qualifications - 7+ years of industry experience in Artificial Intelligence, Machine Learning, or Data Science, with hands-on expertise in building and deploying AI models. - A strong understanding of core AI/ML concepts, including supervised and unsupervised learning, deep learning architectures (CNNs, RNNs, LLMs), and modern frameworks like TensorFlow, PyTorch, and Scikit-learn. - Proficiency in Python and experience with data handling libraries such as NumPy, Pandas, and Matplotlib. - Practical experience with Natural Language Processing (NLP) and Computer Vision, including use of pre-trained models and transfer learning techniques. - Familiarity with Generative AI models such as GPT, BERT, Stable Diffusion, and techniques like Transformers, RLHF, RAG, and prompt engineering. - A strong applied background in using AI for business or research applications—experience in implementing or fine-tuning generative or predictive models is highly valued. - (Preferred) Prior teaching, mentoring, or training experience in an academic or corporate environment. - (Preferred) Advanced degrees such as MTech/MS/PhD in Computer Science, Artificial Intelligence, or a related field, or relevant certifications in Data Science/AI. - Excellent communication and presentation skills, with the ability to simplify complex AI topics for diverse learners. - A genuine passion for teaching, mentoring, and staying updated with the latest advancements in AI and generative technologies. Requirements - Create a positive, professional and inclusive learning environment by: - Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn. - Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences. - Managing regular communication with students to align on progress, expectations, celebrate milestones and address concern areas. - Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication. - Evaluate student performance and progression toward competencies based on course deliverables and course rubrics by: - Providing constructive and timely feedback to students in the cohort. - Assisting in the management of Performance Action Plans for individual students who need additional support. - Serve as a role model for students and as an ambassador for our brand by: - Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public. - Promoting student retention and amplifying student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources. - Encouraging teamwork and seeking feedback for continuous improvement. Benefits - The expected compensation for this role is $50 per hour for candidates who fulfill the qualifications listed. - Part-Time Instructors are hourly, non-exempt employees and will be compensated for all time worked. - Part-time Instructors can expect to work approximately 8-10 hours per week and should not exceed expected hours without manager approval. - The expected compensation for this role for candidates is $55 per hour for candidates who fulfill the qualifications for the role.

Role Description We are seeking an experienced AI Transformation Architect to lead enterprise-wide initiatives focused on embedding artificial intelligence, machine learning, and generative AI capabilities into core business systems and operational workflows. This role bridges executive strategy and technical execution, ensuring AI adoption is scalable, secure, and aligned with long-term business objectives. The ideal candidate thrives in complex environments involving legacy system modernization, data transformation, and cross-functional collaboration. Key Responsibilities - Lead the design and execution of enterprise AI transformation strategies aligned with business and operational goals - Architect scalable AI/ML and generative AI solutions integrated into existing enterprise systems - Partner with executive stakeholders and consulting teams to define use cases, prioritize initiatives, and drive adoption - Oversee integration of AI capabilities across legacy and modern platforms, ensuring interoperability and performance - Establish governance frameworks covering ethical AI use, compliance, and model validation - Drive collaboration across data engineering, software development, and business teams - Evaluate emerging AI technologies and recommend tools, platforms, and architectural approaches - Mentor technical teams and enforce best practices across the AI lifecycle Qualifications - Extensive experience leading enterprise AI or digital transformation initiatives in complex environments - Strong expertise in machine learning, generative AI, and advanced analytics - Proven ability to design scalable architectures across legacy and cloud ecosystems - Experience in consulting or advisory roles translating strategy into execution - Deep understanding of data ecosystems, pipelines, and governance - Experience in regulated industries (e.g., healthcare, finance, government) - Strong leadership and stakeholder communication skills - Demonstrated success driving large-scale technology adoption Requirements - Proven experience leading AI-driven modernization initiatives involving legacy systems (e.g., mainframe environments) - Hands-on experience integrating Generative AI solutions (LLMs, RAG pipelines) into enterprise systems beyond proof-of-concept