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Gross salary $2500 - 3000 Tiempo completo
MLOps Engineer
  • Niuro
Python Linux Sysadmin Artificial Intelligence
Niuro is a global technology company dedicated to connecting elite tech teams with leading U.S. enterprises. We focus on delivering innovative industrial data projects that drive transformation and foster innovation. By partnering with top-tier companies in the United States, we enable our teams to work on impactful challenges in a collaborative and technically rigorous environment. Our projects typically involve developing scalable, automated machine learning pipelines, leveraging cloud services, and integrating cutting-edge MLOps tools to ensure continuous delivery and operational excellence.
As part of Niuro, you will contribute to these projects with a strong emphasis on automation, reliability, and scalability of ML solutions, while benefiting from our commitment to professional growth, training, and leadership development.

Job source: getonbrd.com.

Role and Responsibilities

As a Senior MLOps Engineer at Niuro, you will be responsible for designing, implementing, and maintaining robust machine learning operations pipelines to support large-scale data and ML workflows.
  • Build and manage end-to-end ML lifecycle automation using tools like Databricks and MLflow.
  • Collaborate closely with data scientists, software engineers, and project stakeholders to streamline model deployment, monitoring, and versioning.
  • Develop and optimize batch processing pipelines on Linux environments to ensure efficient data throughput.
  • Implement best practices for CI/CD within ML workflows using Bitbucket repositories and automated testing frameworks.
  • Ensure infrastructure reliability, scalability, and security for ML production environments.
  • Troubleshoot and resolve operational issues related to ML systems and data workflows.
  • Contribute to the team's continuous improvement by sharing knowledge, mentoring juniors, and participating in architecture discussions.

Required Skills and Experience

We are looking for experienced MLOps engineers with a strong technical background in operationalizing machine learning models and workflows in production environments. The ideal candidate will have:
  • Deep hands-on experience with Databricks for big data processing and ML model management.
  • Proficiency in using MLflow for experiment tracking, model registry, and deployment pipelines.
  • Strong Python programming skills, especially for scripting automation tasks and pipeline development.
  • Experience working with Bitbucket for source code management and CI/CD integration.
  • In-depth knowledge of designing and managing batch processing systems, optimizing job scheduling and resource allocation.
  • Comfortable working in Linux environments, with solid command-line skills and system administration basics.
  • Good conversational English skills to effectively communicate with our U.S.-based teams and stakeholders.
  • Strong problem-solving skills, attention to detail, and ability to work autonomously in a remote setting.
  • Prior experience in collaborative remote teams and agile methodologies is a plus.
We value individuals who are proactive learners and continuously seek innovative solutions to complex ML operational challenges.

Preferred Qualifications


  • Experience with cloud platforms such as AWS, Azure, or GCP, especially their ML and data pipeline services.
  • Familiarity with containerization tools like Docker and orchestration frameworks such as Kubernetes.
  • Knowledge of infrastructure-as-code (IaC) tools like Terraform or CloudFormation.
  • Exposure to real-time data streaming technologies such as Kafka or AWS Kinesis.
  • Background in software engineering practices including unit testing, code reviews, and design patterns.
  • Previous experience in mentoring or leading technical teams.

What We Offer

At Niuro, we provide a fully remote work environment with a flexible schedule that allows you to work from anywhere within the LATAM region. We believe in fostering a culture of continuous learning and professional development through ongoing training programs in both technical and leadership skills.
We offer the opportunity to join projects that are technically challenging and impactful in the industrial data space, enabling you to grow your skill set and advance your career. Our supportive infrastructure handles all administrative tasks including hiring, payments, and training so you can focus entirely on your core responsibilities.
Successful collaboration on initial contracts often leads to longer-term, stable employment opportunities, reinforcing our commitment to our team members’ career paths.

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Gross salary $3000 - 4000 Tiempo completo
Data Engineer / Machine Learning Engineer
  • Lilo AI
Python PostgreSQL SQL NoSQL
Lilo AI is an innovative startup dedicated to transforming procurement for Commercial Real Estate (CRE) businesses by creating the most hassle-free procurement platform globally. Our platform leverages artificial intelligence to automate and optimize various procurement workflows, including invoicing, vendor management, and price comparisons. Serving diverse sectors such as hotels, gyms, schools, and senior living homes, our solutions save clients valuable time and money while improving operational efficiency. Our major clients include prestigious brands such as Fairfield, Hampton Inn, and Hilton. By joining Lilo AI, you will contribute to revolutionizing procurement processes at scale through cutting-edge AI technologies.

This job offer is on Get on Board.

About the Role

As a Data Engineer / Machine Learning Engineer at Lilo AI, you will play a pivotal role in advancing and deploying machine learning solutions that enhance our procurement platform. Your primary responsibilities will include:
  • Designing, developing, and implementing machine learning models to optimize procurement workflows, such as price prediction algorithms, anomaly detection systems, and recommendation engines.
  • Building and maintaining robust data pipelines to efficiently preprocess and cleanse both structured and unstructured datasets.
  • Collaborating closely with engineers, product managers, and business stakeholders to integrate AI-driven insights seamlessly into our platform environment.
  • Optimizing model performance and reliability, including contributing to monitoring strategies and retraining pipelines to sustain production quality.
  • Keeping abreast of the latest developments in AI, machine learning, and data science to continually enhance our technology stack.
  • Supporting the deployment of machine learning models into production environments and improving MLOps workflows to increase operational efficiency.
This role requires a proactive mindset, a passion for AI applications in real-world business contexts, and the ability to thrive in a dynamic, fast-paced, and collaborative global team.

What You Will Need

To succeed in this role, candidates should demonstrate strong technical proficiency and relevant experience as detailed below:
  • A minimum of 2 years of professional experience in machine learning, data science, or closely related fields.
  • Proficiency in Python programming and familiarity with prominent ML frameworks and libraries such as Scikit-Learn, TensorFlow, or PyTorch.
  • Hands-on experience with both SQL and NoSQL databases, including but not limited to MongoDB and PostgreSQL.
  • Solid understanding of data preprocessing techniques, feature engineering, and model evaluation methodologies essential for robust ML model development.
  • Basic knowledge or experience with containerization (Docker), cloud computing platforms (AWS, Google Cloud Platform, or Azure), and MLOps tools is highly desirable.
  • Analytical mindset with strong problem-solving skills, able to handle and extract insights from large datasets effectively.
  • A continuous learner attitude, eager to develop technical and professional skills while contributing to team goals.
We value curiosity, collaboration, and adaptability, wanting individuals who are ready to grow alongside our rapidly expanding company.

Desirable Skills and Experience

While not mandatory, the following skills and experiences will give candidates an edge:
  • Experience working with time-series data, demand forecasting, or procurement-related AI models.
  • Familiarity with advanced ML techniques such as deep learning, reinforcement learning, or natural language processing.
  • Hands-on exposure to MLOps pipelines, automated model deployment, and monitoring platforms.
  • Knowledge of data engineering tools and frameworks like Apache Airflow, Spark, or Kafka.
  • Prior experience in the hospitality or Commercial Real Estate sectors.
  • Strong communication skills to effectively articulate technical concepts to non-technical stakeholders.

Why Lilo AI?

Joining Lilo AI offers a unique opportunity to make a significant impact at a fast-growing US-based startup while enjoying the flexibility of remote work from Latin America. We provide:
  • A high-impact role within a pioneering team revolutionizing procurement with AI.
  • Possibility to grow professionally with opportunities to increase responsibilities over time.
  • Stock options available for the right candidate, sharing in our long-term success.
  • A collaborative, global, and multi-cultural work environment fostering innovation and continuous learning.

Pet-friendly Pets are welcome at the premises.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Health coverage Lilo AI pays or copays health insurance for employees.
Company retreats Team-building activities outside the premises.
Dental insurance Lilo AI pays or copays dental insurance for employees.
Computer provided Lilo AI provides a computer for your work.
Informal dress code No dress code is enforced.
Vacation over legal Lilo AI gives you paid vacations over the legal minimum.
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$$$ Tiempo completo
AI Engineer
  • Improving South America
Python Artificial Intelligence Machine Learning Deep Learning

Somos Improving South America!

Somos una empresa internacional de desarrollo de software con miembros de equipos en Argentina, Chile, España y USA principalmente.

Colaboramos en el desarrollo de software de nuestros clientes, sumándonos con nuestros equipos y estructura, trabajando directamente con los clientes los cuales se encuentran mayoritariamente en San Francisco.

Trabajamos con equipos distribuidos, de manera remota y colaborativa, utilizando herramientas como Slack, Zoom, HO, Jira, etc. Nuestra experiencia se basa fuertemente en frontend development y También trabajamos en desarrollo backend.

Valoramos a las personas dinámicas en el aprendizaje de nuevas tecnologías para utilizarlas en los proyectos.

Find this job and more on Get on Board.

Funciones del cargo

En Improving South America, estamos en búsqueda de un Ingeniero de IA Semi-Senior que esté entusiasmado por unirse a nuestro equipo. Este rol es ideal para alguien que desea contribuir con sus conocimientos en inteligencia artificial y colaborar en proyectos innovadores que marcan la diferencia en diversas industrias.

Desarrollar y entrenar modelos de Machine Learning, asegurando su correcta implementación, validación y ajuste según los objetivos del negocio.

Diseñar e implementar modelos de forecasting utilizando enfoques tanto tradicionales (ARIMA, Prophet) como avanzados (RNN, LSTM, Transformers), enfocados en series temporales y datos multivariables de gran escala.

Aplicar técnicas de Procesamiento del Lenguaje Natural (NLP) para resolver problemas complejos, integrando LLMs, RAGs, embeddings y arquitecturas de agentes inteligentes.

Construir y mantener pipelines de Machine Learning eficientes, escalables y automatizados para el procesamiento de grandes volúmenes de datos.

Implementar buenas prácticas de observabilidad y monitoreo en modelos desplegados, incluyendo tracking de métricas clave, alertas y registros.

Realizar pruebas, mediciones de performance y mejoras continuas de accuracy en los modelos existentes.

Colaborar con equipos multidisciplinarios (científicos de datos, ingenieros, producto) para alinear soluciones técnicas con necesidades estratégicas.

Utilizar herramientas y librerías en Python como TensorFlow, PyTorch, Scikit-learn, entre otras, para el desarrollo de soluciones de inteligencia artificial.

Requerimientos del cargo

  • Nivel de inglés: Intermedio/avanzado (B2/C1).
  • Experiencia en Machine Learning, incluyendo desarrollo y entrenamiento de modelos.
  • Experiencia en AI Forecasting (excluyente), específicamente con:
    • Modelos de series temporales tradicionales (ARIMA, Prophet).
    • Redes neuronales recurrentes (RNN, LSTM).
    • Transformers aplicados a predicción.
    • Modelos multivariables para forecasting sobre grandes volúmenes de datos.
  • Experiencia en NLP (Procesamiento del Lenguaje Natural):
    • LLMs (Large Language Models).
    • RAGs (Retrieval-Augmented Generation).
    • Embeddings.
    • Arquitecturas de agentes inteligentes.
    • Buenas prácticas de observabilidad y monitoreo.
    • Medición de métricas, testing y mejora de accuracy.
    • Sólido manejo de Python y librerías como TensorFlow, PyTorch, Scikit-learn, entre otras.
    • Experiencia trabajando con grandes volúmenes de datos y construcción de pipelines de ML.

Beneficios

  • 100% Remoto.
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo.

Internal talks Improving South America offers space for internal talks or presentations during working hours.
Computer provided Improving South America provides a computer for your work.
Informal dress code No dress code is enforced.
Vacation over legal Improving South America gives you paid vacations over the legal minimum.
Vacation on birthday Your birthday counts as an extra day of vacation.
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Gross salary $4000 - 5500 Tiempo completo
Sr. Full-Stack Data Scientist
  • TECLA
PostgreSQL Django Machine Learning Data Science
TECLA is a fully remote software development company with a diverse and highly skilled team of 100+ experts across Latin America. We specialize in AI, cloud, automation, and DevOps, building innovative solutions for high-growth startups and established mid-market technology companies in the U.S.
Our work culture is agile, collaborative, and fast-paced—we take our work seriously while keeping the environment fun and engaging. As a remote-first company, we emphasize strong teamwork and close collaboration, working seamlessly with our U.S. partners as one integrated unit. Whether optimizing cloud environments, developing AI-driven applications, or enhancing DevOps automation, TECLA is at the forefront of technical innovation, solving complex challenges with cutting-edge technology.

Find this job on getonbrd.com.

Job Details:

We are growing to the next level of maturity, having found early success and market validation. We are seeking a stellar Full-Stack Data Scientist to lead the development of data-driven features and insights that will shape our core product and elevate customer decision-making. The selected candidate will work directly with senior leadership and will own the machine learning and data roadmap, from problem definition to production deployment. If you have world-class data science skills, thrive in ambiguity, move fast, and are excited about building technology that makes a difference, this role is for you.

What You’ll Do:

  • Design and implement the ML, AI and data science solutions that power customer-facing features.
  • Own the full ML lifecycle, from data expiration and modelling to deployment and monitoring.
  • Translate customer problems into scalable, data-driven solutions.
  • Contribute to our overall data and ML infrastructure, including tooling and deployment pipelines.
  • Collaborate cross-functionally to ensure insights are delivered effectively and reliably.
  • Help define our data strategy.

What You Bring:

  • BS or MS in Data Science, Machine Learning, Computer Science, or a related field.
  • 5+ years of proven track record delivering ML/AI-driven products in commercial environments.
  • Expertise in both supervised and unsupervised learning techniques, including model selection, tuning, and evaluation.
  • Strong skills across machine learning, statistical modeling, and data engineering.
  • Experience working with LLMs for summarization, generation, and agentic workflows.
  • Experience shipping models to production, including deployment, monitoring, and versioning.
  • Proven ability to work independently in a fast-paced, ambiguous, early-stage environment.
  • Strong communication and interpersonal skills.

Bonus Points For:
  • Familiarity with MLOps.
  • Comfort working across backend infrastructure (e.g., Django, APIs, PostgreSQL).
  • Prior experience in Fintech.

Benefits:

  • A fully remote position with a structured schedule that supports work-life balance.
  • The opportunity to make a huge impact by contributing to cutting-edge technology and product innovation.
  • Two weeks of paid vacation per year.
  • 10 paid days for local holidays.
*Please note we are only looking for full-time dedicated team members who are eager to fully integrate within our team.

Fully remote You can work from anywhere in the world.
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$$$ Tiempo completo
Senior Computer Vision Engineer
  • Niuro
C C++ Python Big Data

At Niuro, we connect elite tech teams with innovative projects in collaboration with leading U.S. companies. Our mission emphasizes simplifying global talent acquisition through efficient and high-quality solutions. We empower our teams by providing opportunities for continuous professional growth, ensuring success in technologically challenging projects. As such, we handle all administrative aspects including hiring and payments, allowing our professionals to focus on achieving outstanding results in their respective fields.

Official source: getonbrd.com.

Responsibilities

  • Model Development & Optimization: Enhance accuracy and speed of YOLO (or similar models) through advanced CNN architectures and optimization techniques.
  • Dataset Management & Augmentation: Expand and refine datasets, utilizing data augmentation techniques to enhance model robustness.
  • Model Training & Evaluation: Train and validate models against key metrics (precision, recall, mAP) to ensure reliable performance in real-world scenarios.
  • Deployment on Embedded Hardware: Optimize and deploy models on Jetson Orin Nano (or similar) using TensorRT for high-speed inference.
  • Real-World Validation: Test models in sterilization and surgical environments, iterating and refining based on real-world performance feedback.

Requirements

  • Computer Vision Expertise: 5+ years in deep learning and computer vision.
  • Model Development: Strong experience with YOLO, Faster R-CNN, EfficientDet, or similar architectures.
  • Deep Learning Frameworks: Proficiency in PyTorch or TensorFlow for model training and optimization.
  • Data Handling: Experience managing large datasets and applying data augmentation techniques.
  • Performance Optimization: Knowledge of model quantization, pruning, and employing TensorRT for real-time inference.
  • Embedded AI: Proven experience deploying models on NVIDIA Jetson devices.
  • Evaluation & Metrics: Strong familiarity with key performance metrics including mAP, IoU, recall, and precision.
  • Software Development Skills: Proficiency in Python, with experience in C++ being a plus.
  • Problem-Solving & Debugging: Ability to fine-tune models based on real-world feedback.
  • OpenCV Expertise: Demonstrable experience with OpenCV for advanced image processing and real-time computer vision applications.

Nice to Have

  • Experience with ONNX, OpenVINO, or similar model optimization tools.
  • Familiarity with ROS (Robot Operating System) for robotics applications.
  • Experience in medical imaging or AI applications within healthcare.
  • Knowledge of sensor fusion technologies such as LiDAR and depth cameras.

What We Offer

🌎 100% Remote – Work from anywhere in the world!
📈 Cutting-Edge AI Projects – Engage in real-world AI applications specifically oriented towards the medical field.
💰 Competitive Salary & Performance Reviews – Compensation is tailored according to experience.
🛠 High-Impact Work – Contribute to AI solutions that promote safety and enhance efficiency in surgical environments.
🎓 Learning & Development – Gain access to extensive training, conferences, and mentorship opportunities.

Fully remote You can work from anywhere in the world.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Informal dress code No dress code is enforced.
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$$$ Tiempo completo
Content Manager Semisenior
  • 2BRAINS
  • Santiago (In-office)
Marketing Planning Material Design Content creation

2Brains es una empresa dedicada a construir y desarrollar el Futuro Digital de nuestros clientes, con una visión excepcional que radica en la integración sinérgica de estrategia, diseño y tecnología, un tríptico poderoso que impulsa el crecimiento de empresas y disruptores tecnológicos.

Contamos con un nutrido equipo de más de 480 profesionales, verdaderos artífices de la innovación digital. En el corazón de nuestra labor, destacamos como líderes indiscutibles, canalizando años de experiencia hacia la creación de plataformas tecnológicas adaptables y productos digitales de clase mundial.

En 2Brains, no solo somos consultores, somos arquitectos de experiencias digitales. Aspiramos a ir más allá de las expectativas, estableciendo nuevos estándares en la industria. Descubre cómo damos vida a la innovación, cómo convertimos ideas en resultados tangibles y cómo, junto a nosotros, puedes forjar un futuro digital brillante.

Find this vacancy on Get on Board.

Funciones del cargo

¿Que conocimientos buscamos en el/la Content Manager?

3 años de experiencia comprobable en áreas de comunicación y gestión de contenidos digitales.

Experiencia sólida trabajando en equipos multidisciplinarios y en entornos corporativos o de marketing digital.

Habilidad destacada para redactar y editar contenidos en diversos formatos, adaptándose con precisión a las necesidades de la organización.

Capacidad demostrada para gestionar múltiples proyectos simultáneamente y cumplir con plazos exigentes, manteniendo siempre un alto estándar de calidad.

Dominio en el uso de CMS (Sistemas de Gestión de Contenidos) y familiaridad con herramientas de edición de texto.

Conocimientos básicos de HTML y CSS.

Habilidad para transmitir información de manera clara, precisa y con un lenguaje adecuado a todas las áreas de la organización.

Proactividad en la generación de soluciones e ideas frente a los desafíos diarios, asegurando una comunicación efectiva.

Capacidad para adaptarse y flexibilizar rápidamente a los cambios en los requerimientos organizacionales y las necesidades de la audiencia.

Familiaridad con los principios básicos de SEO (Optimización en Motores de Búsqueda) y posicionamiento orgánico.

Requerimientos del cargo

2Brains es una empresa dedicada a construir y desarrollar el Futuro Digital de nuestros clientes, con una visión excepcional que radica en la integración sinérgica de estrategia, diseño y tecnología, un tríptico poderoso que impulsa el crecimiento de empresas y disruptores tecnológicos.

Contamos con un nutrido equipo de más de 480 profesionales, verdaderos artífices de la innovación digital. En el corazón de nuestra labor, destacamos como líderes indiscutibles, canalizando años de experiencia hacia la creación de plataformas tecnológicas adaptables y productos digitales de clase mundial.

En 2Brains, no solo somos consultores, somos arquitectos de experiencias digitales. Aspiramos a ir más allá de las expectativas, estableciendo nuevos estándares en la industria. Descubre cómo damos vida a la innovación, cómo convertimos ideas en resultados tangibles y cómo, junto a nosotros, puedes forjar un futuro digital brillante.

El perfil de Content Manager en 2Brains

El/la Content Manager será fundamental en la planificación, creación y gestión estratégica de los contenidos digitales de la organización. Su rol implica asegurar la más alta calidad y coherencia del contenido, alineándolo impecablemente con las necesidades de nuestros usuarios y los objetivos de negocio, para ofrecer información clara y altamente atractiva.

Este rol requiere una habilidad excepcional para la colaboración transversal con equipos de diseño, marketing, negocio y tecnología. Entre sus responsabilidades clave se incluye garantizar la consistencia en el tono y estilo del contenido, así como establecer y optimizar los procesos de publicación y el mantenimiento eficiente de todo el material digital.

Opcionales

¿Qué competencias buscamos en/la Content Manger?

Visión estratégica de negocio

Habilidad para analizar métricas y datos

Resolución de conflictos y pensamiento crítico

Evaluación de rendimiento del contenido (performance)

Diseño centrado en el usuario

Sensibilidad con el diseño visual

Aprendizaje continuo

Innovación tecnológica

Condiciones

Te ofrecemos

Trabajar con un equipo de alto rendimiento, aprendemos y nos desarrollamos juntos.

Un proyecto con foco en los usuarios, visión de UX e integrada al desarrollo.

Trabajar con un equipo de alto rendimiento, aprendemos y nos desarrollamos juntos.

Acceso a grandes clientes y proyectos desafiantes.

Aprendizaje y crecimiento permanente, organizamos meetups, capacitaciones y actividades culturales.

Un entorno de trabajo flexible y dinámico.

Días de descanso.

Día libre por tu cumpleaños.

Cursos y certificaciones.

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$$$ Tiempo completo
SAP Basis Consultant S/4HANA &Amp; Cloud
  • Moventi
Azure ITIL Cloud Architecture AWS
Moventi is a technology consultancy focused on helping organizations innovate and lead through technology adoption. We work with diverse multidisciplinary teams fostering continuous learning and collaboration. Our current focus includes supporting clients adopting SAP S/4HANA and cloud solutions, helping them to transform their IT landscapes for increased agility and efficiency.
The SAP BASIS team at Moventi is responsible for maintaining, upgrading, and optimizing SAP environments both on-premises and in the cloud. The projects involve working with SAP HANA Cloud (HEC) and SAP S/4HANA landscapes, managing system migrations, and ensuring seamless infrastructure operations for enterprise clients across multiple sectors.

Exclusive to Get on Board.

Role and Responsibilities

As a Senior SAP BASIS Consultant specializing in SAP S/4HANA and cloud technologies, you will be responsible for ensuring the availability, performance, and security of SAP systems for our global clients. Key duties include:
  • Performing SAP Basis activities such as system installation, configuration, upgrades, and patching, especially focusing on SAP S/4HANA and SAP HEC environments.
  • Managing infrastructure updates and applying release version upgrades to maintain system currency and compliance.
  • Handling SAP landscape management including integration of infrastructure components such as load balancers, networks, and system interfaces.
  • Executing end-to-end troubleshooting to analyze issues and design effective solutions to maintain system stability and performance.
  • Planning and executing complex migration projects—migrating SAP environments from on-premises to cloud, cloud-to-cloud, or cross-datacenter scenarios.
  • Collaborating closely with internal and client teams to align SAP BASIS activities with business needs and IT service management practices.

Required Skills and Experience

We are seeking a candidate with strong technical expertise and hands-on experience in SAP Basis administration, particularly in cloud and SAP S/4HANA environments. The ideal candidate should possess: (5-8 years of experience)
  • Extensive knowledge of IT Service Management frameworks and best practices as they apply to SAP operations.
  • Proven hands-on expertise with SAP Basis technical activities including system installations, upgrades, patch management, and landscape monitoring.
  • Experience working with SAP HEC (HANA Enterprise Cloud), SAP S/4HANA or comparable cloud SAP solutions.
  • In-depth understanding of infrastructure operations supporting SAP landscapes such as networks, interfaces, and load balancers (especially related to TLO – Tenant Landscape Operation).
  • Strong analytical and troubleshooting skills capable of diagnosing complex technical problems and developing comprehensive solutions.
  • Experience managing SAP migrations from on-premise systems to the cloud, as well as cloud-to-cloud or cross-datacenter migrations.
  • Excellent communication skills, self-motivation, and the ability to work collaboratively in a multidisciplinary environment.
Soft skills including adaptability, initiative, commitment to quality, and a proactive approach to learning new technologies and processes are highly valued.

Desirable Qualifications

Additional skills and experiences that would be advantageous include:
  • Cloud architecture and IT technical infrastructure know-how
  • Knowledge of/certification in one of Azure, AWS or GCP fundamentals
  • Experience with Migration, Upgrade projects esp. on S/4H Cloud
  • Knowledge of Project Management Fundamentals, ITIL, Lean Fundamentals is a plus
  • knowing any of the native languages on the top of it is an added advantage (Spanish/portugese)

What We Offer

  • Continuous professional growth opportunities through exposure to challenging and innovative projects.
  • Remote work flexibility enabling a healthy work-life balance.
  • Collaborative and supportive work culture focused on transparency, teamwork, and creativity.
Our central office offers a modern environment with recreational areas and agile workspaces for those who visit. Joining Moventi gives you the chance to work alongside multidisciplinary talents and innovate as part of a committed team.

Health coverage Moventi pays or copays health insurance for employees.
Computer provided Moventi provides a computer for your work.
Informal dress code No dress code is enforced.
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Gross salary $1400 - 1800 Tiempo completo
Analista Consolidación Senior
  • Agrosuper
  • Rancagua (Hybrid)
Excel SAP Accounting Audit
En Agrosuper, nos dedicamos a ofrecer alimentos de la más alta calidad a familias en Chile y en todo el mundo. Nuestra misión es “Alimentar lo bueno de la vida todos los días”, y para lograrlo, necesitamos a los mejores talentos en nuestro equipo. Como Analista Consolidación Senior, tendrás un papel crucial en el control y la mejora de nuestros procesos contables de consolidación. Te invitamos a unirte a un entorno que premia la mejora continua y el desarrollo profesional.

Originally published on getonbrd.com.

Principales Funciones:

  1. Supervisar el análisis, desarrollo de procesos y el cumplimiento de políticas y procedimientos de consolidación contable, garantizando la adherencia a normativas internas y legales para contribuir a la toma de decisiones.
  2. Apoyar y guiar a los analistas y administrativos asignados en el desarrollo de sus labores, asegurando la calidad y el cumplimiento normativo.
  3. Generar informes de estados financieros, FECUS y estados de flujo de efectivo de las unidades de negocios, coordinando el envío de información relevante para la toma de decisiones.
  4. Definir y establecer herramientas de gestión, incluyendo ratios y valores proyectados, para asegurar la consistencia de la información contable consolidada.
  5. Identificar oportunidades de mejora en los procesos relacionados con las distintas líneas de negocio, promoviendo la estandarización a partir de las mejores prácticas.

Requisitos:

  • Título de Contador Auditor (excluyente).
  • Excel avanzado (excluyente).
  • SAP en nivel intermedio, preferentemente avanzado.
  • Al menos 4 años de experiencia en áreas contables, idealmente como Senior en Auditoría o como Analista Contable (excluyente).

Deseables:

Valeria adicional será tener experiencia en ambientes multinacionales y buen manejo de herramientas de gestión, así como habilidades en la preparación y análisis de informes complejos. Se valorarán competencias como la capacidad de trabajo en equipo y el liderazgo en proyectos.

Beneficios de Agrosuper:

  • Planes de crecimiento y desarrollo profesional.
  • Capacitaciones y becas de estudio.
  • Convenios con diversas instituciones.
  • Bonos asociados al desempeño para reconocer y motivar tu trabajo.
En Agrosuper, cada persona es el alma de nuestra empresa. Estamos comprometidos con la inclusión y buscamos incorporar colaboradores con discapacidad para formar un equipo diversas y talentoso. ¡Ven a ser parte de Agrosuper!

Beverages and snacks Agrosuper offers beverages and snacks for free consumption.
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