Ubicación: Presencial - Barranquilla, Atlántico Tipo de Contrato: Contrato Indefinido Rango Salarial: $2.000.000 COP + comisiones (sin techo) Departamento: Comercial / Gestión de Propiedades Nivel de Experiencia: 1 a 3 años de experiencia Acerca de Nosotros Somos una empresa familiar con sede en Barranquilla, dedicada a la gestión integral de bienes inmuebles. Nuestro compromiso es brindar confianza, cercanía y experiencia, creando relaciones sólidas y duraderas con propietarios y arrendatarios. Trabajamos con clientes del sector público y privado, lo que nos permite ofrecer una gestión ágil, dinámica y adaptada a cada necesidad. Resumen del Puesto Buscamos un Gestor Inmobiliario para arrendar, vender y administrar inmuebles comerciales. El objetivo principal es asegurar una rotación ágil de las propiedades, el cumplimiento de las metas comerciales y la satisfacción de propietarios e inquilinos. El candidato ideal será proactivo, autónomo y orientado a los resultados. Responsabilidades Clave Captar y gestionar la oferta de inmuebles en venta, arriendo o administración. Promocionar las propiedades a través de marketing digital, medios tradicionales y redes de contacto para garantizar alta visibilidad y rápida colocación. Realizar visitas y recorridos efectivos, resaltando el valor diferencial de cada inmueble. Asesorar a clientes durante todo el proceso de negociación y cierre. Gestionar la documentación legal y contractual (contratos de arrendamiento, compraventa, actas de entrega, seguros, etc.). Mantener actualizadas las bases de datos de inmuebles, clientes y prospectos a través del CRM. Hacer seguimiento a procesos de cartera y cumplimiento de pagos. Cumplir y superar las metas de ventas y arrendamientos establecidas. Habilidades y Experiencia Requeridas Formación Académica: Técnico, tecnólogo o profesional en Administración de Empresas, Gestión Inmobiliaria, Mercadeo, Negocios, Derecho o áreas afines. Experiencia: 1 a 3 años en cargos similares en inmobiliarias en las áreas de ventas, arriendos y administración de inmuebles. Conocimientos Específicos: Legislación inmobiliaria. Técnicas de negociación y ventas consultivas. Manejo de CRM inmobiliario y herramientas digitales. Marketing digital aplicado al sector inmobiliario. Paquete Office (Excel, Word, PowerPoint). Competencias y Habilidades: Experticia en ventas y arrendamiento de inmuebles. Comunicación asertiva, persuasiva y enfocada en cierres rápidos. Orientación al cliente y servicio de excelencia. Alta capacidad de negociación. Organización, planeación y seguimiento. Trabajo en equipo y bajo presión. Proactividad, autonomía y enfoque en resultados. Habilidades Deseables Se valorará experiencia demostrable en el logro de metas comerciales y cierres efectivos.
Own model serving for multiple LLM/speech models on Modal. Build and maintain the APIs around those models. Create the feedback/eval loop to improve quality while meeting strict latency/cost SLOs. Responsibilities Host and scale real-time & batch inference on Modal (autoscaling, images/volumes/secrets). Operate a multi-model fleet (versioning, routing, canaries/blue-green, traffic shaping). Ship endpoints; auth, RBAC, quotas, rate limits, telemetry. Implement feedback pipelines, online A/B evals, and guardrails with actionable alerts. Drive performance: profiling, batching, quantization, KV-cache, runtime tuning. Establish observability and reliability (OTel, metrics/logs, SLOs, runbooks, on-call). CI/CD and IaC for reproducible builds and one-click rollbacks. Must-haves 5+ years in ML Ops/Platform/SRE with production LLM/ML serving. Strong Python; high-throughput async APIs (FastAPI/Starlette) and GitHub-based CI/CD. Deep experience with vLLM, TensorRT-LLM, Triton, or ONNX Runtime. Hands-on with Modal or equivalent GPU/k8s platform. Solid observability (OTel) and incident response/postmortems. Preferred ONNX export expertise (PyTorch→ONNX), quantized/dynamic graphs, custom ops. Safety/guardrails and constrained decoding. Systems perf (CUDA/Triton kernels) or Rust for hot paths; load/chaos testing.
Job Summary: A consulting firm specialized in SAP Analytics Cloud (SAC) implementations is seeking a Senior Consultant (technical and/or functional profile) with strong experience in SAC Planning. The role involves working on end-to-end planning projects for large companies, contributing to model design, advanced SAC configuration, client training, and solution delivery. The ideal candidate is proactive, analytical, and capable of working independently while collaborating in agile teams. Key Responsibilities: Lead or participate in the implementation of SAC Planning projects for enterprise clients. Design customized planning models based on each client’s management style and business needs. Configure SAP Analytics Cloud Planning modules: ○ Stories ○ Data Actions ○ Data Imports/Exports Integrate SAC with SAP HANA, BW, or other SAP modules. Translate client requirements into functional and technical specifications. Document project deliverables and configurations with clear, well-structured writing. Provide training to both internal consultants and client stakeholders. Participate in daily stand-ups and agile workflows with the project team. Act as a consultative partner to clients, offering best practices and recommendations. Required Qualifications: Required Qualifications: Bachelor’s degree in Engineering, Information Systems, Business Administration, Accounting, or similar. Minimum 3 years of hands-on experience with SAP Analytics Cloud Planning. Solid understanding of financial planning and budgeting processes. Proficiency in configuring SAC (stories, data actions, import/export). Experience integrating SAC with SAP HANA or similar systems. Strong written communication and structured documentation skills. Advanced Excel knowledge. Proven ability to work independently and lead client conversations. Availability for occasional travel. Valid passport (required for non-Mexico-based candidates). Ability to read and understand technical content in English. Preferred Qualifications: Experience with SAP BPC (Business Planning and Consolidation). Familiarity with SAP DataSphere and/or SAP Joule. Participation in functional design or requirements gathering workshops. High level of soft skills: teamwork, adaptability, assertiveness, and client diplomacy. Experience mentoring or training colleagues and users. Spoken English proficiency is a plus
📍 Localização: 100% remoto – Brasil, SP Descrição da vaga Este talento é vital dentro da área de Customer Experience, pois é quem acompanha a operação para oferecer um atendimento ao cliente de excelência no menor tempo possível. É responsável principalmente por processos como: onboarding, acompanhamento e renovação de clientes. Funções essenciais Atendimento ao cliente: contato direto via mensagens ou chamadas. Acompanhamento e atualização do pipeline conforme o avanço do cliente. Apoio em funções operacionais: acompanhamento de bugs identificados no software para que sejam resolvidos pela equipe de tecnologia, melhorando a experiência do cliente. Responsável pelo onboarding de novos clientes, esclarecendo dúvidas e acompanhando toda a jornada de compra e pós-compra. Acompanhamento de clientes atuais para incentivar recompra. Suporte constante ao cliente em caso de dúvidas sobre a ferramenta. Reuniões frequentes com o Commercial Head para apresentação de resultados. Competências corporativas Autonomia e proatividade, empatia, comunicação verbal, orientação para resultados, colaboração, potencial de aprendizado, senso de urgência. Competências técnicas Atendimento ao cliente via telefone (call center) e via webcam (indispensável). Capacidade de realizar múltiplas tarefas ao mesmo tempo. Experiência em ambiente startup (desejável). Conhecimento de Excel (básico a intermediário – desejável). Observações adicionais Para o perfil ideal, buscamos alguém que venha do ambiente startup, tenha experiência em atendimento ao cliente via telefone e que seja multitarefa, já que este talento é quem acompanha de perto a operação.
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 Us: We are a growth financing marketplace for small business owners, with a mission to increase access to entrepreneurship. By connecting businesses to growth capital and offering world-class financial management services, we empower entrepreneurs to take control of their financials and achieve sustainable economic success. The Role: We are looking for five Accountants to join our team as soon as possible. This role is ideal for professionals with solid accounting expertise who can adapt to evolving technological processes in financial operations. You will work closely with the Accounting Service Manager and other teams to ensure financial accuracy and compliance, supporting our mission of fostering small business growth. Key Responsibilities: Bookkeeping & Transactions: Accurately record and process accounts payable, accounts receivable, payroll, and general ledger entries. Financial Reporting: Assist in preparing financial statements and reports in accordance with US GAAP standards. Account Reconciliation: Perform regular bank, credit card, and general ledger reconciliations to ensure accuracy. Compliance & Tax Support: Ensure compliance with tax regulations and assist with audits and tax filings as needed. Process Improvement: Identify opportunities to enhance financial operations, increase efficiency, and reduce errors. Collaboration: Work with internal teams and external partners to maintain seamless accounting processes. Requirements: Education: Bachelor’s degree in Accounting, Finance, or a related field. Experience: 1-3 years of accounting experience (reduced requirement due to technology-driven process changes). We highly value candidates with background in companies such as: Deloitte, PwC, EY, KPMG. Technical Skills: Familiarity with accounting software (e.g., QuickBooks, Xero) and proficiency in Excel. Knowledge: Understanding of US GAAP and financial reporting practices. Adaptability: Willingness to learn new tools and adjust to evolving accounting technologies. Attention to Detail: High accuracy in financial reporting and reconciliations. Communication: Advanced English proficiency (Spanish is optional). Location. Preferred location: Brazil (open to Guatemala).
About Us: We are a growth financing marketplace for small business owners, with a mission to increase access to entrepreneurship. By connecting businesses to growth capital and offering world-class financial management services, we empower entrepreneurs to take control of their financials and achieve sustainable economic success. The Role: We are looking for five Accountants to join our team as soon as possible. This role is ideal for professionals with solid accounting expertise who can adapt to evolving technological processes in financial operations. You will work closely with the Accounting Service Manager and other teams to ensure financial accuracy and compliance, supporting our mission of fostering small business growth. Key Responsibilities: Bookkeeping & Transactions: Accurately record and process accounts payable, accounts receivable, payroll, and general ledger entries. Financial Reporting: Assist in preparing financial statements and reports in accordance with US GAAP standards. Account Reconciliation: Perform regular bank, credit card, and general ledger reconciliations to ensure accuracy. Compliance & Tax Support: Ensure compliance with tax regulations and assist with audits and tax filings as needed. Process Improvement: Identify opportunities to enhance financial operations, increase efficiency, and reduce errors. Collaboration: Work with internal teams and external partners to maintain seamless accounting processes. Requirements: Education: Bachelor’s degree in Accounting, Finance, or a related field. Experience: 1-3 years of accounting experience (reduced requirement due to technology-driven process changes). We highly value candidates with background in companies such as: Deloitte, PwC, EY, KPMG. Technical Skills: Familiarity with accounting software (e.g., QuickBooks, Xero) and proficiency in Excel. Knowledge: Understanding of US GAAP and financial reporting practices. Adaptability: Willingness to learn new tools and adjust to evolving accounting technologies. Attention to Detail: High accuracy in financial reporting and reconciliations. Communication: Advanced English proficiency (Spanish is optional). Location. Preferred location: Brazil (open to Guatemala).
Position Overview We are seeking an exceptional Chief Technology Officer to lead our Large Language Model initiatives and drive technological innovation in AI/ML. This executive role requires a visionary leader who can bridge cutting-edge research with scalable production systems while building and managing world-class engineering teams. Key Responsibilities Strategic Leadership Define and execute the technical vision for LLM development, deployment, and scaling Drive strategic partnerships with research institutions, cloud providers, and AI/ML vendors Lead technology roadmap planning aligned with business objectives and market opportunities Represent the company at industry conferences, research symposiums, and with key stakeholders Technical Excellence Oversee architecture and development of large-scale LLM training and inference infrastructure Guide research initiatives in model optimization, efficiency improvements, and novel architectures Ensure robust MLOps practices, including model versioning, monitoring, and deployment pipelines Drive innovation in areas such as multi-modal models, retrieval-augmented generation, and agent frameworks Organizational Leadership Build, mentor, and scale high-performing engineering and research teams (50-200+ people) Establish engineering culture focused on excellence, innovation, and rapid iteration Collaborate closely with CEO, CPO, and other executives on product strategy and go-to-market Drive talent acquisition strategy for specialized AI/ML roles Operational Management Oversee technical budgets, infrastructure costs, and resource allocation Ensure security, compliance, and ethical AI practices across all LLM initiatives Manage vendor relationships and technology partnerships Drive cost optimization for compute-intensive workloads Required Qualifications Education & Experience PhD in Computer Science, Machine Learning, AI, or related field (or equivalent industry experience) 12+ years of technical leadership experience, with 5+ years in executive roles 5+ years of hands-on experience with large language models, transformers, or related architectures Proven track record of scaling engineering organizations from startup to enterprise level Technical Expertise Deep understanding of LLM architectures, training methodologies, and optimization techniques Experience with distributed training frameworks such as PyTorch Strong background in cloud infrastructure, particularly GPU/TPU clusters and ML platforms Knowledge of model compression, quantization, and inference optimization Understanding of AI safety, alignment, and responsible AI practices Leadership Skills Demonstrated ability to recruit, develop, and retain top-tier technical talent Experience managing complex, multi-disciplinary projects with competing priorities Strong communication skills with ability to explain complex technical concepts to diverse audiences Track record of successful collaboration with product, business, and research teams Preferred Qualifications Startup experience or research experience at leading AI/ML companies (OpenAI, Anthropic, Google DeepMind, etc.) Published research in top-tier ML conferences such us NeurIPS, ICLML, ICLR, etc. Experience with foundation model commercialization and API products Experience with open source models, RAG (Retrieval-Augmented Generation), and fine-tuning techniques Cloud experience with AWS or Google Cloud Platform Background in adjacent areas such as computer vision, robotics, or speech recognition MBA or equivalent business education What We Offer Competitive executive compensation package including equity Opportunity to shape the future of AI technology at scale Access to cutting-edge compute resources and research partnerships Collaborative work environment with world-class researchers and engineers Comprehensive benefits including health, dental, vision, and retirement plans Flexible work arrangements and professional development budget Reporting Structure This role reports directly to the CEO and will be a member of the executive leadership team. The CRO will manage multiple VP-level leaders across Engineering, Research, Infrastructure, and Security. Location San Francisco, CA (HQ) with flexibility for hybrid/remote work arrangements. Regular travel required for conferences, team meetings, and partnership activities.
Location: Híbrido (2-3 días en oficina y el resto desde casa/remoto) Tijuana, MXN Full Time Salary Range: $17,000 - $18,500 MXN base + estructura de comisiones Experience Level: Entry-level (2+) About Us Somos una empresa líder en el sector salud especializada en el cobro de pagos de seguros médicos. Actuamos como intermediarios entre proveedores de atención médica y compañías de seguros, asegurando cobros oportunos y eficientes. Nuestro compromiso con un servicio excelente y el mantenimiento de relaciones sólidas con nuestros clientes nos distingue en la industria. Position Overview Buscamos un Asesor Comercial dinámico y orientado a resultados para unirse a nuestro equipo. En este rol, serás el responsable de identificar y colaborar con nuevos clientes potenciales (médicos), presentándoles nuestra solución de factoraje de manera clara y convincente. El candidato ideal tiene un trato excepcional con los clientes, disfruta de la prospección activa y cuenta con habilidades de comunicación sobresalientes para construir relaciones de confianza a largo plazo. Key Responsibilities Prospección y Desarrollo de Negocio: Identificar y contactar a nuevos clientes potenciales a través de llamadas en frío, visitas, referencias y networking. La prospección activa y constante es fundamental. Gestión del Ciclo de Venta: Guiar al cliente desde el primer contacto hasta el cierre de la venta, presentando nuestra solución de manera clara y convincente. Gestión de Clientes: Mantener una comunicación fluida y amable con los clientes, resolviendo dudas y construyendo una relación a largo plazo. Coordinación Interna: Trabajar de la mano con el equipo de gestión, cobranza y operaciones para asegurar que el proceso de alta y gestión de documentación sea eficiente y ordenada. Reportes y Seguimiento: Mantener un registro detallado de la actividad en un CRM para dar seguimiento a los avances y resultados. Required Skills & Experience Experiencia Comprobada en Ventas: Mínimo de 2 años de experiencia en un rol de ventas, preferiblemente en un sector de alta prospección. Habilidades de Prospección en Frío: Capacidad demostrada para contactar y generar interés en clientes potenciales sin un contacto previo. Habilidades de Comunicación: Un trato amable, empático y profesional, con capacidad de explicar conceptos de manera sencilla. Orientación a Resultados: Ser una persona ambiciosa, automotivada e impulsada por los objetivos. Organización y Proactividad: Capacidad para manejar múltiples procesos de venta simultáneamente y mantener un registro ordenado de la información. Resiliencia: Mantener una actitud positiva frente al rechazo y demostrar perseverancia. Adaptabilidad: Sentirse cómodo aprendiendo sobre un nuevo sector (financiero y médico) y adaptando el discurso a las necesidades del cliente.
Location: Híbrido (2-3 días en oficina y el resto desde casa/remoto) CDMX Full Time Salary Range: $18,000 - $20,000 MXN base + estructura de comisiones Experience Level: Entry-level (2+) About Us Somos una empresa líder en el sector salud especializada en el cobro de pagos de seguros médicos. Actuamos como intermediarios entre proveedores de atención médica y compañías de seguros, asegurando cobros oportunos y eficientes. Nuestro compromiso con un servicio excelente y el mantenimiento de relaciones sólidas con nuestros clientes nos distingue en la industria. Position Overview Buscamos un Asesor Comercial dinámico y orientado a resultados para unirse a nuestro equipo. En este rol, serás el responsable de identificar y colaborar con nuevos clientes potenciales (médicos), presentándoles nuestra solución de factoraje de manera clara y convincente. El candidato ideal tiene un trato excepcional con los clientes, disfruta de la prospección activa y cuenta con habilidades de comunicación sobresalientes para construir relaciones de confianza a largo plazo. Key Responsibilities Prospección y Desarrollo de Negocio: Identificar y contactar a nuevos clientes potenciales a través de llamadas en frío, visitas, referencias y networking. La prospección activa y constante es fundamental. Gestión del Ciclo de Venta: Guiar al cliente desde el primer contacto hasta el cierre de la venta, presentando nuestra solución de manera clara y convincente. Gestión de Clientes: Mantener una comunicación fluida y amable con los clientes, resolviendo dudas y construyendo una relación a largo plazo. Coordinación Interna: Trabajar de la mano con el equipo de gestión, cobranza y operaciones para asegurar que el proceso de alta y gestión de documentación sea eficiente y ordenada. Reportes y Seguimiento: Mantener un registro detallado de la actividad en un CRM para dar seguimiento a los avances y resultados. Required Skills & Experience Experiencia Comprobada en Ventas: Mínimo de 2 años de experiencia en un rol de ventas, preferiblemente en un sector de alta prospección. Habilidades de Prospección en Frío: Capacidad demostrada para contactar y generar interés en clientes potenciales sin un contacto previo. Habilidades de Comunicación: Un trato amable, empático y profesional, con capacidad de explicar conceptos de manera sencilla. Orientación a Resultados: Ser una persona ambiciosa, automotivada e impulsada por los objetivos. Organización y Proactividad: Capacidad para manejar múltiples procesos de venta simultáneamente y mantener un registro ordenado de la información. Resiliencia: Mantener una actitud positiva frente al rechazo y demostrar perseverancia. Adaptabilidad: Sentirse cómodo aprendiendo sobre un nuevo sector (financiero y médico) y adaptando el discurso a las necesidades del cliente.