En EPAM NEORIS creemos que la transformación empieza por las personas. Hoy como parte de EPAM ampliamos nuestro alcance global y nuestras capacidades pero mantenemos lo más importante una cultura donde cada persona puede crecer aportar y ser protagonista. No buscamos solo cubrir puestos. Buscamos incorporar talento que quiera superarse aprender constantemente y dejar huella en cada proyecto. Somos un equipo diverso inclusivo y en constante evolución. Impulsamos ideas no jerarquías. Apostamos por el desarrollo real de cada persona. Si quieres trabajar en un lugar donde tu crecimiento importa tanto como los resultados te estamos buscando. Respaldados por más de 60000 profesionales en más de 55 países y un sólido modelo Nearshore conectamos capacidades globales con confianza local para generar impacto real crecimiento sostenible y resultados de alto valor para nuestros clientes. Estamos en búsqueda de Senior Full Stack Developer (AI-Native) Principales responsabilidades Desarrollar y mantener aplicaciones full stack con foco en backend (Java Spring Boot) y frontend (Angular) asegurando rendimiento y escalabilidad. Diseñar e implementar arquitecturas basadas en microservicios y APIs REST garantizando buenas prácticas y calidad del código. Participar en la automatización de despliegues mediante pipelines CI/CD (Jenkins) y entornos contenerizados (Docker OpenShift). Colaborar con equipos multidisciplinares en entornos Agile (Scrum) participando en code reviews debugging y mejora continua. Integrar herramientas de IA en el ciclo de desarrollo para optimizar generación de código testing documentación y productividad. Contribuir a la evolución de prácticas DevOps observabilidad y estándares de seguridad en el desarrollo de software. Requerimientos Excluyentes Más de 5 años de experiencia como Full Stack Developer / Software Engineer con orientación backend. Experiencia sólida en Java Spring Boot y Hibernate/JPA. Conocimientos en frontend con Angular HTML CSS y/o TypeScript/JavaScript. Experiencia con bases de datos relacionales (Oracle PostgreSQL) y SQL. Experiencia en diseño y consumo de APIs REST. Experiencia trabajando con Git y flujos colaborativos. Experiencia con arquitecturas de microservicios. Experiencia en CI/CD con Jenkins. Conocimiento de metodologías Agile (Scrum). Experiencia con Docker y OpenShift. Uso práctico de herramientas de IA aplicadas al desarrollo (ej. GitHub Copilot ChatGPT u otras). Conocimiento de prácticas de desarrollo asistido por IA y prompt engineering. Deseables Experiencia con AWS u otros entornos cloud. Conocimiento de herramientas de monitorización logging y observabilidad. Experiencia con arquitecturas event-driven y sistemas de mensajería. Experiencia con Kubernetes. Conocimientos en testing automatizado. Experiencia o exposición a plataformas de IA/ML o integraciones GenAI. Conocimientos de seguridad en entornos de desarrollo asistidos por IA. Experiencia mentorando perfiles junior. Ofrecemos Contrato indefinido con salario competitivo Modalidad flexible y posibilidad de trabajo remoto. Plan de carrera personalizado y formación continua Participación en proyectos estables con alto componente técnico. Flexibilidad horaria y enfoque en la conciliación. Beneficios sociales adaptados a tus necesidades Te invitamos a conocernos en http//www.neoris.com Facebook LinkedIn Twitter o Instagram @NEORIS. #LI-RD1

Join Vonage and help us innovate cloud communications for businesses worldwide! - Why this role matters We're seeking a Software Engineer to join our Cloud Engineering team and help drive innovation across the Vonage Video Platform. This role will focus on enhancing our PaaS backend systems improving cloud resource control and provisioning and contributing to scalable architecture design and distributed computing solutions. As part of the team you'll contribute to both new feature development and backend system improvements with a strong focus on quality fault tolerance and performance. You'll gain hands-on experience with real-time communications and use data to help improve how we build and scale our services. This is a great opportunity to grow your skills by working on large-scale highly available systems alongside a team of experienced engineers who are passionate about cloud infrastructure media technologies and real-time communication. Your key responsibilities Hands-on software development and system design. Implement new features for the cloud based API Gateway Media Control and Signalling systems for the Vonage Video Platform. Contribute to software architectures for a highly distributed network application resource optimization strategies and real-time stream/message processing. Design and develop approaches to measure evaluate and improve service quality. Collaborate on projects involving signalling fabric and coordinate with other teams. Embed AI-assisted engineering into daily practice to accelerate delivery and enhance outcomes Proactively adopts emerging AI capabilities to improve workflows and share best practices with the team Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team What you'll bring Strong Java 17 and / or C++ coding skills and willingness to learn more languages. JavaScript and experience with HTML5 APIsall across different browser engine APIs in general. Understanding regarding memory management garbage collection concurrency. Excellent debugging and problem solving skills. Good understanding of algorithms data structures. Track record of delivering high quality code in a fast-paced environment. Experience we consider a plus Proficiency in the Netty framework for high-performance network programming. Strong experience with Spring Boot for building scalable and robust APIs. Hands-on expertise with message brokers such as Apache Kafka ZeroMQ RabbitMQ or similar queueing systems. Working knowledge of Redis Kubernetes Helm Docker AWS and ElastiCache for cloud-native and distributed systems. Experience with CI/CD pipelines using Jenkins or equivalent tools. Familiarity with Go programming language. Understanding of communication technologies protocols and standards such as VoIP SIP H.323 XMPP etc. #LI-JM1 There's no perfect candidate. You don't need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds so if you're passionate about what you could achieve at Vonage we'd love to hear from you. To learn how we process your personal data during the recruitment process please refer to our Privacy Notice. Who we are Vonage is a global cloud communications leader. And your talent will further help brands - such as Airbnb Viber WhatsApp and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications contact center solutions and communications APIs. Ready to innovate? Then join us today. Note The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions departmental need or geographic location.

We are looking for a Senior ML Computer Vision Engineer to join our team! Our client is an innovative technology division within one of the world's top-10 copper producers. You'll play a pivotal role in their expanding Computer Vision and AI ambitions. While the initial focus involves advanced asset management the team is embarking on a long-term journey to leverage traditional machine learning artificial intelligence and predictive maintenance across their global operations. Working closely with a newly appointed Computer Vision Subject Matter Expert (SME) and cross-functional data and integration teams you will drive research and development initiatives from proof-of-concept through to production. Your work will directly shape how the organisation utilizes visual and operational data eventually integrating these cutting-edge AI capabilities into the core asset management scope and broader operational ecosystem. Responsibilities Partner with the Computer Vision SME to drive R&D initiatives exploring new applications for AI CV and traditional machine learning within heavy industry. Design develop and deploy Computer Vision models (e.g. object detection image classification segmentation) and traditional ML algorithms for predictive maintenance and asset monitoring. Translate business requirements and R&D concepts into scalable production-ready machine learning pipelines. Collaborate with Data Engineers and Analytics Engineers to ensure seamless ingestion transformation and availability of visual sensor and operational data. Work alongside Integration Engineers to embed AI/ML capabilities and model outputs into existing enterprise applications and asset management systems. Implement MLOps best practices for model training versioning deployment monitoring and lifecycle management within an Azure-centric environment. Evaluate and select appropriate algorithms frameworks and cloud-native AI tools to meet evolving business and performance needs. Prepare comprehensive technical documentation model architectures and performance reports for technical and non-technical stakeholders. Requirements 5+ years of hands-on experience as a Machine Learning Engineer Computer Vision Engineer or AI Researcher in a software development environment. Strong proficiency in Python and deep learning frameworks such as PyTorch TensorFlow or Keras. Proven experience building and deploying Computer Vision solutions (e.g. using OpenCV YOLO ResNet) in real-world scenarios. Solid foundation in traditional machine learning techniques (e.g. scikit-learn XGBoost) and statistical data analysis particularly for predictive maintenance or time-series forecasting. Experience with cloud-based ML platforms and MLOps practices preferably utilizing Azure Machine Learning Databricks or similar enterprise environments. Familiarity with data manipulation and analysis libraries (Pandas NumPy) and working with large diverse datasets (images video streams sensor data). Strong analytical and problem-solving skills with a track record of transitioning models from R&D phases into production scale. Excellent communication skills with the ability to collaborate effectively with SMEs data engineering teams and business leadership. Master's degree or PhD in Computer Science Artificial Intelligence Data Science or a related highly quantitative field (or equivalent applied experience). Nice to have Background in mining heavy industry or manufacturing environments particularly working with OT (Operational Technology) or IoT sensor data. Experience processing and analyzing geospatial data drone imagery or edge-computing AI deployments. Familiarity with Azure Data Factory Azure Synapse or Azure Integration Services to better align with the broader data platform team. We offer Flexible working format - remote office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program tech talks and trainings centers of excellence and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits not applicable for freelancers

Work Schedule Standard (Mon-Fri)Environmental Conditions OfficeJob Description About Us - Here at Thermo Fisher Scientific our industry-leading scale means unparalleled commercial reach unique customer access and a global footprint. Our broad customer base from research clinical to commercial production means you can have a broad and significant impact. All while working in an environment where you will be supported valued and rewarded for your performance. Join our Sales & Marketing team with an unmatched depth of capabilities and help our customers solve some of the world’s toughest challenges. The Fisher Scientific Channel is building a bridge between business and science as the single source for a comprehensive range of laboratory equipment chemicals instruments life sciences reagents and consumable supplies. The position will be remote and can be located in any of the 18 countries where we operate in Europe but will require fluency in English and in Spanish. You will work in a diverse multi-cultural environment. For internal applicants please be aware that this role can also be upgrade to band 5. Discover Impactful Work! The Digital Account Manager is responsible for driving revenue growth across a large portfolio of low-revenue customers in the UK & Ireland. You will be part of a European sales team focused on scalable growth piloting new approaches and increasing eCommerce adoption. What will be your day job? Drive Customer Growth Own and execute a territory growth strategy for a high-volume customer base Identify engage and develop high-potential customers to increase revenue and retention Balance revenue growth with a “digital-first” mindset encouraging adoption of self-service channels Proactive Customer Engagement Connect with customers via phone video calls and LinkedIn to understand needs and uncover opportunities Tailor outreach based on buying signals customer personas and campaign. Educate customers on how to effectively use our website for research ordering and support Portfolio & Pipeline Management Build and manage a strong opportunity pipeline in Salesforce to meet or exceed sales targets Prioritize accounts based on growth potential and cost-to-serve considerations Ensure seamless handover of high-value opportunities to Inside or Field Sales teams Cross-functional Collaboration Partner closely with Digital Marketing to optimize targeting and campaign effectiveness Provide customer insights to improve digital experience and remove friction points Collaborate with eBusiness teams to enhance the online customer journey Continuous Improvement & Innovation Test and scale new digital sales tactics (e.g. AI-email personalisation outreach automation) Share best practices and contribute to a high-performance learning-focused team culture Experience Bachelor’s degree in Science Business or related field preferred Experience engaging internal or external customers to understand and solve their problems Proven ability to build relationships and influence stakeholders Demonstrated resilience and persistence in achieving goals Previous experience in sales or customer service is a plus Skills & Competencies - Results-driven and self-motivated Strong communication and relationship-building skills Comfortable with proactive outreach and handling rejection Digitally savvy able to leverage tools to drive impact Adaptable and open to feedback in a fast-paced environment Entrepreneurial mindset with a willingness to test and learn Fluent in English and in Spanish are a must Experience with Salesforce (or similar CRM) preferred Willingness to travel (~10%) for regional or international meetings

"¿Te apasiona el mundo del comercio internacional la globalización y los negocios internacionales? En UNIR la Universidad en Internet buscamos docentes e investigadores que quieran transformar la enseñanza en el ámbito del Comercio Exterior formando a los profesionales que liderarán la internacionalización de las empresas. Estamos impulsando una forma innovadora de enseñar Dirección del Comercio y Negocios internacionales combinando rigor académico enfoque práctico y tecnología educativa. ¡Queremos contar contigo en este proyecto formativo! Puedes conocer más acerca de la titulación de Máster a través de este enlace Máster Universitario en Dirección del Comercio y Negocios Internacionales I UNIR ¿Qué te ofrecemos? Flexibilidad total con colaboración 100% online. Innovación y tecnología educativa. Acompañamiento y formación continua. Crecimiento profesional en una universidad en expansión. Materiales y contenidos en constante actualización. Unidad de Apoyo a la Acreditación. Buscamos perfiles con experiencia en Comercio internacional y operaciones exteriores Exportación importación y logística internacional Aduanas normativa y contratación internacional Fiscalidad y financiación del comercio exterior Estrategias de internacionalización empresarial Marketing internacional y desarrollo de mercados Geopolítica y entorno económico internacional Gestión de riesgos en operaciones internacionales Principales formas de colaboración Impartición de clases y seguimiento académico en titulaciones de Grado y/o Postgrado. Dirección y tutoría de Trabajos Fin de Grado (TFG) y Trabajos Fin de Máster (TFM). Elaboración supervisión y corrección de exámenes y actividades evaluativas. Requisitos Titulación universitaria en el área de especialización. Experiencia docente o profesional en comercio exterior o internacionalización. Se valorará positivamente Estar en posesión de Acreditación ANECA u otra Agencia Autonómica (ACCUA ACCUEE ACPUA ACSUCYL ACSUG ANECA AQU Catalunya AQUIB AVAP Fundación madri+d y UNIBASQ). Participación en proyectos de investigación y/o publicaciones en revistas indexadas. Tener concedido algún sexenio de investigación. ¡Forma parte de UNIR y contribuye a formar a los profesionales de comercio internacional del futuro! Participa en esta iniciativa académica y potencia tu trayectoria en el ámbito educativo. El Grupo EDUCATIVO está firmemente comprometido con la igualdad de oportunidades y la diversidad logrando con ello crear un entorno libre de toda discriminación. UNIVERSIDAD INTERNACIONAL DE LA RIOJA S.A.U. (en adelante ""UNIR"") como entidad integrante del Grupo PROEDUCA tratará los datos de carácter personal que usted ha proporcionado con la finalidad de gestionar tu participación en procesos de selección valorar tu perfil y si encaja con otras vacantes compartirlo con otras empresas del Grupo. La información detallada sobre el tratamiento de tus datos personales está disponible en el texto legal que acompaña al formulario de inscripción. Usted podrá revocar el consentimiento otorgado así como ejercitar los derechos reconocidos en los artículos 15 a 22 del Reglamento (UE) 2016/679 mediante solicitud dirigida en Av. de la Paz 137 26006 Logroño o a la siguiente dirección de correo electrónico ppd@unir.net identificándose debidamente. Si lo desea puede consultar información adicional y detallada sobre protección de datos en el siguiente enlace. PDI ESPAÑA #LI-IF1 Empresas del grupo Personal Docente e Investigador (PDI) Puesto Docente Ubicaciones España Estado remoto Completamente remoto Tipo de empleo Tiempo completo Empresa UNIR - Universidad Internacional de la Rioja"