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Tiempo completo
Senior Gen AI Engineer
Python
Flask
Back-end
FastAPI
Niuro partners with elite U.S. companies to deliver autonomous, high-performance tech teams. This role sits within our Gen AI / AI systems squad, focused on building scalable AI-powered solutions for complex business problems. You will contribute to a global, remote-friendly delivery model, collaborating with cross-functional teams to design, prototype, and deploy LLM-driven applications. The project scope includes creating PoCs, iterating quickly based on feedback, and ensuring robust integration with multiple model providers and data sources. Niuro offers ongoing professional growth, leadership development, and a strong administrative backbone to enable engineers to focus on impact.
Apply directly from Get on Board.
What you'll do
- Lead the design and implementation of Generative AI solutions and LLM-driven applications, with emphasis on reliability, scalability, and usability.
- Develop and maintain backend services (Python-based) using FastAPI/Flask, integrate with model APIs (OpenAI, Anthropic, etc.), and build supporting tooling (memory, prompting strategies, tools, and evaluations).
- Build and orchestrate multi-framework AI stacks (e.g., LangChain, LangGraph, Pydantic AI, CrewAI, AutoGen, LlamaIndex, Haystack) and ensure effective observability and monitoring (LLM observability, performance metrics).
- Implement RAG pipelines, prompt engineering patterns, and multi-agent systems to solve complex tasks with high autonomy.
- Create simple UIs for internal testing and demonstration (Streamlit, Gradio) and collaborate with frontend teams (React/Next.js) when needed.
- Drive PoC deliveries within ~2 weeks, then iterate rapidly based on feedback and business value realization.
- Collaborate across LATAM time zones with Spanish fluency, maintaining high autonomy, speed, and results orientation.
Required skills and experience
- 1+ year of hands-on experience with large language models and Generative AI frameworks.
- Practical experience with at least two frameworks from the following: LangChain, LangGraph, Pydantic AI, CrewAI, AutoGen, LlamaIndex, Haystack, or similar.
- Proficiency in Python with backend experience using FastAPI, Flask, or equivalent.
- Experience implementing LLM-powered applications (prompting, tools, memory, evaluations) and knowledge of memory management strategies for AI systems.
- Knowledge of multi-agent systems and retrieval-augmented generation (RAG) pipelines.
- Experience integrating with model APIs (OpenAI, Anthropic, etc.).
- Ability to work on backend tasks and contribute to simple UIs (Streamlit or Gradio).
- Fluent Spanish with ability to collaborate within Chile/LATAM time zones.
- High level of autonomy, speed, and a results-driven mindset.
Nice to have
- Experience with Azure or other cloud deployment platforms.
- Familiarity with React or Next.js for frontend integration.
- Experience with LLM observability tools (LangSmith, Weights & Biases, Arize/Phoenix, OpenTelemetry).
- Exposure to CI/CD pipelines and deployment infrastructure.
What we offer
We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.
Informal dress code
No dress code is enforced.
Gross salary
$4500 - 7500
Tiempo completo
Head of Artificial Intelligence
Python
Virtualization
Amazon Web Services
Artificial Intelligence
Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. The Head of AI will join Niuro’s remote-first environment to define and drive the AI strategy across the organization, partnering with the CEO to align technology with business goals. You will lead the design and deployment of scalable, secure AI platforms, modernizing legacy systems while delivering transformative AI capabilities for our clients. This role sits at the intersection of strategic leadership and hands-on technical execution, guiding cross-functional teams and ensuring that AI initiatives translate into measurable business outcomes. You will also help nurture a global, high-performance workforce through mentorship, training, and strong governance around AI programs.
Find this vacancy on Get on Board.
Key Responsibilities
- Vision & Strategy: Partner with the CEO to define and execute Niuro's AI roadmap, ensuring alignment with business objectives and market opportunities. Translate strategy into actionable programs with clear milestones and metrics.
- Architecture Leadership: Serve as the chief AI architect, designing scalable, secure AI-driven systems. Lead the transition from legacy platforms to modern infrastructure while ensuring reliability and compliance.
- Innovation & Delivery: Drive rapid development of new AI-powered features and services, balancing speed with maintainability and long-term support.
- Technology Oversight: Guide the use of cloud-based technologies (AWS, Terraform, Kubernetes, Python, Windows Server/IIS, FastAPI). Implement monitoring (CloudWatch, Grafana) and data pipelines (AWS Glue/Lambda) to ensure scalability and observability.
- People & Stakeholders: Communicate complex technical concepts clearly to executives, clients, and internal teams. Mentor senior engineers and foster a culture of scientific rigor and responsible AI.
Required Skills & Experience
8+ years in software engineering, data science, or AI with at least 3+ years in leadership. Proven track record deploying AI/ML solutions at scale in production environments. Strong systems design background and experience with cloud platforms (AWS preferred). Advanced Python programming skills; experience with modern AI frameworks and LLMs. Demonstrated success modernizing legacy platforms and delivering scalable, maintainable AI solutions. Exceptional executive-level communication abilities and a talent for translating technical concepts into business value. Fluent in English; Spanish or Portuguese is a plus.
Desirable Skills & Experience
Experience in regulated industries (fintech, govtech) and products with active users and customer support operations. Familiarity with AWS AI services, container orchestration (Kubernetes/ECS), and MLOps. Exposure to LLM-based automation and data engineering workflows. A proactive, entrepreneurial mindset with a bias for action and strong collaboration skills.
Benefits & Perks
We offer the chance to participate in impactful, technically rigorous industrial data projects that drive innovation and professional growth. Niuro supports a 100% remote work model, enabling global flexibility. We invest in career development through ongoing training and leadership opportunities, ensuring continuous growth. Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment. Joining Niuro means being part of a global community with strong administrative support that enables you to focus on impactful work.
Fully remote
You can work from anywhere in the world.
Gross salary
$2500 - 3500
Tiempo completo
Senior ML Engineer (Software Development Background)
JavaScript
Python
Front-end
Virtualization
Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. Niuro empowers projects by providing autonomous, high-performance tech teams, specialized in partnering with top-tier U.S. companies. We offer continuous professional growth opportunities, training in technical and soft skills, and leadership development to ensure success in innovative and challenging projects. Additionally, we handle all administrative tasks, including hiring, payments, and training, allowing our teams to focus on delivering exceptional results. Our priority is to foster a collaborative environment where talent can grow and reach its full potential.
Apply directly on Get on Board.
Role overview
We’re looking for a versatile engineer who can move across data, backend, and machine learning projects. The role combines strong software engineering foundations with applied ML expertise, ensuring scalable, reliable, and production-ready solutions.
What you’ll do
- Contribute to end-to-end ML projects, bridging data engineering, backend development, and model deployment.
- Design, implement, test, and maintain scalable data pipelines and production-ready ML systems.
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
- Apply best practices in software engineering (testing, CI/CD, version control) and operate within AWS-powered environments.
- Work with data platforms such as Snowflake and Databricks; handle data ingestion, cleaning, and processing.
- Experiment with time-series modeling, generative models, or recommendation systems as applicable to projects.
- Leverage JavaScript knowledge as a plus when interfacing with front-end or data visualization components.
Desired background
Proven experience in Python and AWS, strong software engineering mindset, solid understanding of data engineering pipelines, and hands-on ML experience in at least one of time series, generative modeling, or recommendation systems. Familiarity with Snowflake and Databricks is a plus. Strong communication skills and ability to work in an international, remote-first environment.
What we offer
We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.
Gross salary
$3000 - 3200
Tiempo completo
Ingeniero/a MLOps
JavaScript
Python
Git
REST API
Coderslab.io es una empresa dedicada a ayudar a compañías a transformarse y crecer mediante soluciones tecnológicas innovadoras. Formarás parte de una organización en rápida expansión con más de 3,000 empleados a nivel global, con oficinas en Latinoamérica y Estados Unidos. Trabajarás en equipos diversos, conformados por el 1% del mejor talento tecnológico, participando en proyectos innovadores y exigentes que impulsarán tu desarrollo profesional.
Apply at getonbrd.com without intermediaries.
Funciones del cargo
Responsabilidades
● Diseñar, implementar y automatizar pipelines de MLOps (entrenamiento,
empaquetado, pruebas, versionado y despliegue).
● Construir y mantener CI/CD para modelos y servicios .
● Desplegar y operar modelos/servicios en Google Cloud (Cloud Run), con
observabilidad end-to-end (logging, métricas, alertas).
● Desarrollar y exponer API REST para servir inferencia online/batch.
● Colaborar/Desarollar con Data/Producto para integrar modelos con BigQuery y
fuentes de datos productivas para LLM.
● Crear front-ends ligeros con Next.js para dashboards operativos o frontend.
● Documentar procesos y promover buenas prácticas de seguridad, escalabilidad y
costo.
● Diseñar, implementar y automatizar pipelines de MLOps (entrenamiento,
empaquetado, pruebas, versionado y despliegue).
● Construir y mantener CI/CD para modelos y servicios .
● Desplegar y operar modelos/servicios en Google Cloud (Cloud Run), con
observabilidad end-to-end (logging, métricas, alertas).
● Desarrollar y exponer API REST para servir inferencia online/batch.
● Colaborar/Desarollar con Data/Producto para integrar modelos con BigQuery y
fuentes de datos productivas para LLM.
● Crear front-ends ligeros con Next.js para dashboards operativos o frontend.
● Documentar procesos y promover buenas prácticas de seguridad, escalabilidad y
costo.
Requerimientos del cargo
Formación académica
● Lic. en Sistemas / Informática / Datos / Ing. o afines (o experiencia equivalente).
● Lic. en Sistemas / Informática / Datos / Ing. o afines (o experiencia equivalente).
Experiencia
● 2+ años en roles de MLOps / ML Engineer / DevOps para ML (con experiencia
comprobable en Python y Google Cloud).
● 2+ años en roles de MLOps / ML Engineer / DevOps para ML (con experiencia
comprobable en Python y Google Cloud).
Conocimientos técnicos específicos
Excluyentes
● Google Cloud (Compute, Cloud Run, Cloud Storage, Pub/Sub, BigQuery).
● Python (2+ años) para data/ML, empaquetado y servicios.
● Next.js (1+ años) para front-ends internos/dashboards.
● Docker y conceptos de Kubernetes.
● CI/CD (Gitlab) y control de versiones (Git).
● API REST (diseño, versionado y seguridad básica).
Excluyentes
● Google Cloud (Compute, Cloud Run, Cloud Storage, Pub/Sub, BigQuery).
● Python (2+ años) para data/ML, empaquetado y servicios.
● Next.js (1+ años) para front-ends internos/dashboards.
● Docker y conceptos de Kubernetes.
● CI/CD (Gitlab) y control de versiones (Git).
● API REST (diseño, versionado y seguridad básica).
Opcionales
Deseables
● Vertex AI / MLflow (registry, tracking).
● Vertex AI / MLflow (registry, tracking).
● Frameworks para prototipado de UIs de ML (Streamlit / Gradio) o CSS.
● Monitoreo de modelos (drift, performance) y A/B testing.
● Monitoreo de modelos (drift, performance) y A/B testing.
Competencias
● Proactividad, orientación a resultados y resolución de problemas.
● Excelentes habilidades de comunicación y trabajo en equipo.
● Aprendizaje rápido y mentalidad de mejora continua.
● Proactividad, orientación a resultados y resolución de problemas.
● Excelentes habilidades de comunicación y trabajo en equipo.
● Aprendizaje rápido y mentalidad de mejora continua.
Condiciones
Modalidad: 100% remoto, horarios flexibles. Contratación temporal por 6 meses.
Fully remote
You can work from anywhere in the world.
Gross salary
$2000 - 3000
Tiempo completo
AI Engineer
Python
Virtualization
Amazon Web Services
Docker
Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. Niuro empowers projects by providing autonomous, high-performance tech teams specialized in partnering with top-tier U.S. companies. We focus on innovative and challenging projects that foster continuous professional growth and technological excellence.
Apply without intermediaries from Get on Board.
About the Role:
We’re looking for an AI Engineer to help us develop intelligent agent systems that automate the processing of structured and semi-structured documents. Your work will improve user experience and internal workflows, focusing on automation, accuracy, and scalability.
Requirements:
- Fluent English (written and spoken)
- Strong programming skills in Python
- Experience working with large language models (LLMs) such as OpenAI API or similar
- Ability to design and build APIs using FastAPI
- Familiarity with AWS or other cloud platforms
Nice-to-have:
- Experience with Docker, Gunicorn, and Amazon ECS
- Knowledge of Amazon Bedrock, Amazon Textract, BAML, and Pydantic AI
- Familiarity with Aestiva HTML/OS and Streamlit for prototyping
- Experience with frontend testing using Playwright and backend testing using pytest
- Experience with monitoring tools like CloudWatch, Prometheus, and Grafana
Benefits:
We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.
Informal dress code
No dress code is enforced.
Gross salary
$4000 - 5000
Tiempo completo
Lead Data Scientist – GenAI & Applied ML
Python
Virtualization
Amazon Web Services
Azure
Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. We empower projects by providing autonomous, high-performance tech teams, specialized in partnering with top-tier U.S. companies. Through continuous professional growth opportunities, training in both technical and soft skills, and leadership development, we ensure success in innovative and challenging projects. We also manage all administrative tasks, including hiring, payments, and training, so our teams can focus on delivering exceptional results in their areas of expertise.
Send CV through getonbrd.com.
Key Responsibilities
- Lead and take ownership of Data Science projects, ensuring delivery of high-impact solutions.
- Develop, build, and deploy end-to-end machine learning solutions in production environments.
- Provide technical leadership and mentorship to Data Scientists and Engineers on the team.
- Collaborate cross-functionally with stakeholders and teams, including U.S.-based collaborators.
- Drive innovation by applying knowledge in Python, statistics, scientific computing, and bioinformatics to real-world problems.
Requirements
- Proven leadership experience managing Data Science teams and owning projects across industry and academia.
- Strong expertise in Python programming, statistical analysis, scientific computing, and bioinformatics.
- Hands-on experience with cloud machine learning platforms such as Google Cloud Platform (Vertex AI), AWS, or Azure.
- Demonstrated ability to build and deploy ML solutions fully in production environments.
- Excellent communication skills in conversational English to effectively collaborate with U.S.-based teams.
- Ability to mentor and guide scientists and engineers, fostering team growth and knowledge sharing.
Desirable Skills and Experience
- Experience working with Generative AI use cases, including natural language processing (NLP) and scientific modeling.
- Contributions to academic or editorial publications in AI, computer science, or mathematics.
- Teaching or mentoring experience in graduate-level data science or machine learning programs.
Why Join Niuro?
We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive both innovation and your professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing you the flexibility to work from anywhere globally.
We invest in your career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence, with strong administrative support so you can focus on delivering impactful work.
Gross salary
$2500 - 3000
Tiempo completo
Data Scientist & Machine Learning Engineer
Python
SQL
Django
DevOps
Niuro is a company dedicated to connecting elite technology teams with leading companies in the U.S. We specialize in providing autonomous, high-performance tech teams focused on delivering innovative solutions globally. Our projects typically involve industrial data initiatives that demand technical excellence and innovation. The role will contribute to advanced machine learning and data science projects that aim to drive business value and technological advancement for top-tier U.S. clients. Our teams benefit from a collaborative environment with continuous professional development and administrative support, enabling a focus on impactful and challenging work.
Apply to this job opportunity at getonbrd.com.
Key Responsibilities
As a Data Scientist & Machine Learning Engineer at Niuro, you will play a crucial role in developing, deploying, and maintaining machine learning models and data-driven solutions. Your responsibilities include:
- Designing and implementing machine learning pipelines and models using Python with a focus on production readiness.
- Collaborating with cross-functional teams to understand data requirements and deliver scalable solutions that solve complex problems.
- Integrating ML models into production environments with the help of MLOps practices and DevOps methodologies.
- Working with large language models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to enhance conversational AI and data accessibility.
- Monitoring model performance, retraining and optimizing as needed to maintain high accuracy and robustness.
- Documenting workflows and solutions clearly for team communication and knowledge sharing.
Required Qualifications and Skills
We are seeking an expert Python developer with proven hands-on experience and certification to lead our machine learning projects. The ideal candidate must also possess strong expertise in ML and Data Science, demonstrating a solid understanding of algorithms, data processing, and statistical modeling.
Additional required skills include familiarity with MLOps and DevOps practices to streamline development and deployment cycles effectively. Experience with large language models (LLMs) and Retrieval-Augmented Generation (RAG) is important to support our conversational AI initiatives.
Effective communication skills in English at a conversational level are necessary to collaborate efficiently within our distributed, international teams.
Technical requirements: Expert-level Python programming skills (certified preferred); solid experience with machine learning frameworks and libraries; familiarity with software development best practices in an ML context.
Preferred Skills & Additional Experience
While not mandatory, the following skills would be valuable:
- Experience with Python web frameworks such as Django and FastAPI.
- Working knowledge of SQL databases for data querying and manipulation.
- Practical experience with Docker containerization to support reproducible environments.
- Familiarity with version control using Git, and Python data validation tools like Pydantic.
- Understanding of the Gunicorn application server for deploying Python web applications.
Benefits and Work Environment
At Niuro, you will have the opportunity to work 100% remotely from LATAM, providing full flexibility and work-life balance. We offer competitive compensation aligned with experience and skills.
We invest in continuous training and leadership development to help you grow professionally while working on impactful and technically rigorous data projects.
We foster a culture of collaboration, innovation, and technical excellence, supported by a robust administrative infrastructure so you can focus purely on your technical challenges.
Upon successful completion of the initial contract, there is a strong opportunity for long-term, stable full-time employment with Niuro.
Informal dress code
No dress code is enforced.
$$$
Tiempo completo
AI Engineer
JavaScript
UX
HTML5
Python
Niuro is a company that connects projects with elite tech teams, collaborating with leading U.S. companies to simplify global talent acquisition. Our mission is to provide autonomous, high-performance tech teams that partner with top-tier U.S. companies. We emphasize continuous professional growth, technical and soft skills training, and leadership development. We also take care of all administrative tasks, such as hiring, payments, and training, so our teams can focus on delivering exceptional results. This AI Engineer position is part of our efforts to develop intelligent agent systems that automate processing of structured and semi-structured documents, improving platform user experience, internal workflows, and ensuring data accuracy and security.
Send CV through Get on Board.
About the Role:
We are looking for an experienced AI Engineer to lead the development of intelligent agent systems that automate the processing of structured and semi-structured documents. The role aims to enhance the user experience on our platform by streamlining internal processes such as information validation and extraction. The AI Engineer will focus on improving accuracy, efficiency, and protecting sensitive data.
The engineer will be responsible for designing, implementing, and maintaining automation solutions using AI technologies and ensuring seamless integration within the platform's architecture. They will also collaborate with cross-functional teams to optimize workflows and monitor system performance through advanced monitoring tools.
Requirements:
- Fluent English (both written and spoken) to communicate effectively in a distributed international team.
- Proven experience building intelligent agents for document automation, demonstrating mastery of related AI concepts and frameworks.
- Strong skills in improving user experience (UX) and internal workflows through automation, focusing on delivering value and efficiency.
- Prioritize cost-efficiency, accuracy, and the protection of sensitive data when designing and deploying solutions.
- Experience with the following technology stack:
- Languages: Python, HTML, JavaScript
- AI/Agent Frameworks: BAML, Pydantic AI, Amazon Bedrock, Amazon Textract
- Infrastructure: FastAPI, Gunicorn, Docker, Amazon ECS
- Frontend: Aestiva HTML/OS, Streamlit (primarily for prototyping)
- Testing frameworks: pytest (backend), Playwright (frontend)
- Monitoring tools: CloudWatch, Prometheus, Grafana
Benefits:
We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.
Informal dress code
No dress code is enforced.
$$$
Tiempo completo
Senior Computer Vision Engineer
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.
Apply through Get on Board.
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.
📈 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
Analista SAP Qm
SAP
Planning
English
SAP S/4HANA
Estamos en búsqueda de un Consultor Funcional Senior con especialización en SAP PP-PI (Planificación de Producción para Industrias de Proceso), REM (Manufactura Repetitiva), MRP (Planificación de Requerimientos de Materiales) y Gestión de Calidad (QM).
El consultor será responsable de la documentación, gestión de cronogramas, despliegue y soporte post-implementación (hypercare) de las funcionalidades liberadas, asegurando el cumplimiento de las metodologías y estándares de la empresa.
Esta posición ofrece la oportunidad de participar en proyectos internacionales dentro de un entorno colaborativo y multicultural.
Originally published on getonbrd.com.
Funciones del cargo
Funciones principales:
- Analizar y comprender los requerimientos del negocio para diseñar e implementar soluciones SAP PP/QM alineadas con las necesidades de PepsiCo.
- Ejecutar actividades de configuración, pruebas, implementación y soporte post-go live en los módulos PP/QM.
- Desarrollar y entregar capacitaciones a usuarios finales para asegurar una correcta adopción del sistema.
- Realizar análisis de procesos de negocio y proponer mejoras u optimizaciones.
- Colaborar con equipos multifuncionales para mejorar los procesos de planificación de producción y calidad.
- Desarrollar y mantener documentación funcional y técnica de configuraciones, procesos y procedimientos SAP PP/QM.
- Brindar soporte continuo y mantenimiento de los sistemas SAP PP.
- Realizar análisis y preparación de objetos para archivado.
Requerimientos del cargo
- Experiencia comprobada en implementación, configuración y optimización de SAP PP/QM.
- Conocimiento sólido de los principios y prácticas de planificación de la producción.
- Experiencia con SAP S/4HANA (deseable).
- Conocimiento de la integración con otros módulos (MM, WM, FICO).
- Excelentes habilidades analíticas, de comunicación y resolución de problemas.
- Capacidad para gestionar múltiples proyectos simultáneamente y trabajar en equipos transversales.
- Certificación en SAP PP o experiencia práctica equivalente (se valorará experiencia de negocio).
- Inglés avanzado (oral y escrito).
- Portugués (deseable).
- Disponibilidad para trabajar en horarios de LATAM (México o Brasil).
- Conocimiento de procesos de manufactura o bienes de consumo (deseable).
Condiciones
- Contrato por prestación de servicios.
- Participación en proyectos SAP internacionales de alto impacto.
- Modalidad de trabajo remota desde cualquier país de LATAM.
- Oportunidades de crecimiento profesional en un entorno global y dinámico.
- Compensación competitiva según experiencia.
Gross salary
$2500 - 3500
Tiempo completo
Senior Telecom Platform Engineer
MySQL
PostgreSQL
Oracle
Linux
Acerca de Devups – Somos una empresa global que ofrece servicios de staff augmentation para el sector tecnológico. Nuestro objetivo es impulsar el crecimiento de nuestros clientes permitiendo sumar, cambiar o reducir recursos de desarrollo de forma ágil, sin asumir la carga operativa de reclutamiento, contratos y gestión de talento. En Devups promovemos flexibilidad, innovación y aprendizaje continuo, con un enfoque global que facilita trabajar desde cualquier ubicación. Nuestro proyecto con una empresa líder en telecomunicaciones abarca la integración y operación de plataformas críticas de red, con alcance internacional.
Send CV through Get on Board.
Funciones y responsabilidades
- Instalar, administrar, integrar y actualizar productos de telecomunicaciones como FlowOne, NAC, NOrC y UIV.
- Realizar troubleshooting de configuraciones, rendimiento y gestión de fallas.
- Brindar soporte remoto y gestionar cambios de software para clientes globales.
- Ejecutar chequeos de salud del sistema y mantenimiento preventivo en plataformas EMS/NMS.
- Asegurar cumplimiento OSS con auditorías internas/externas.
- Apoyar la integración de elementos de red 2G, 3G y 4G.
Requisitos y perfil deseado
6 a 10 años de experiencia en roles similares dentro de telecomunicaciones o infraestructuras de red avanzadas. Formación en Ingeniería, Ciencias de la Computación o afines (B.E./B.Tech/MCA). Inglés avanzado. Excelentes habilidades de comunicación, trabajo en equipo y adaptabilidad para operar en entornos globales y con husos horarios diversos. Disponibilidad para viajar de forma ocasional si es necesario.
Conocimientos técnicos clave: Linux Red Hat / Unix, Docker, Kubernetes, OpenShift; VNF/CNF; pipelines CI/CD; automatización con Helm, Ansible, Puppet; bases de datos Oracle, MySQL, PostgreSQL; herramientas de monitoreo como Grafana; fundamentos de redes (IP, routers, switches); scripting en Shell; herramientas de ticketing como Remedy, Salesforce, Dynamics.
Requisitos deseables
Certificaciones relevantes (p. ej., OCP, CKA) y experiencia adicional en entornos de telecomunicaciones de gran escala. Conocimiento práctico de redes celulares 2G/3G/4G y experiencia en entornos multicliente con altos niveles de disponibilidad. Habilidades de liderazgo técnico y capacidad para trabajar de forma proactiva en un equipo distribuido.
Beneficios
Como parte de Devups, ofrecemos un entorno laboral flexible donde la innovación, el crecimiento profesional y la adaptabilidad son clave. Al ser un servicio de staff augmentation, promovemos la posibilidad de trabajar desde cualquier ubicación con modalidad de trabajo remoto global, lo que facilita el equilibrio entre vida personal y profesional.
Fomentamos el desarrollo continuo y apoyamos la certificación y formación en tecnologías punteras para mantenernos siempre a la vanguardia.
Fully remote
You can work from anywhere in the world.
Gross salary
$2200 - 2700
Tiempo completo
QA Automation
Android
iOS
Python
Agile
En CodersLab, estamos creciendo globalmente y queremos llevar nuestros productos a más países de Latinoamérica. Por eso, buscamos un QA Automation con ganas de alcanzar nuevas metas.
Te sumarás a un equipo ambicioso y con ganas de innovar. Tus ideas serán muy importantes para nuestro negocio.
Si esto te entusiasma, ¡envía tu postulación!
Exclusive to Get on Board.
Tus responsabilidades
- Automatización de Pruebas:
- Diseñar y crear scripts automatizados para probar aplicaciones web, móviles y APIs. Usarás herramientas como Robot Framework y Appium (Android/iOS).
- Asegurar que las pruebas cubran servicios REST y GraphQL.
- Usar Python para crear soluciones y mejorar nuestros frameworks de prueba.
- Pruebas de Bases de Datos:
- Probar bases de datos relacionales (MySQL, PostgreSQL) y no relacionales (DynamoDB).
- Colaboración y Gestión:
- Documentar procesos, resultados y estrategias de prueba en Confluence.
- Colaborar de cerca con desarrolladores y equipos de negocio para asegurar la calidad.
- Gestionar tareas, estimar esfuerzos y priorizar en Jira.
- Infraestructura:
- Configurar pipelines CI/CD con GitHub Actions.
- Trabajar con entornos en la nube como AWS para ejecutar y mantener pruebas automatizadas.
- Capacitación y Crecimiento:
- Capacitar al equipo en herramientas y mejores prácticas de automatización.
- Fomentar la mejora continua compartiendo conocimientos y guiando a otros.
Lo que buscamos en ti
- Al menos 5 años de experiencia como QA Automation.
- Mucha experiencia en automatización de pruebas con Robot Framework y Appium (Android/iOS).
- Nivel avanzado de Python para scripts y frameworks.
- Experiencia diseñando y ejecutando pruebas de APIs (REST y GraphQL).
- Conocimiento de bases de datos relacionales y no relacionales (MySQL, PostgreSQL, DynamoDB).
- Conocimiento de herramientas CI/CD como GitHub Actions.
- Experiencia con AWS.
- Manejo de herramientas de gestión como Jira y Confluence.
- Buenas habilidades de documentación y para colaborar con equipos técnicos y de negocio.
- Experiencia en metodologías ágiles (Scrum).
- Capacidad para liderar iniciativas de automatización y promover el aprendizaje continuo.
- Comunicación clara y proactividad.
- Autonomía y habilidad para manejar varias tareas a la vez.
Nuestras condiciones
Remoto 100%
Puedes trabajar desde cualquier lugar del mundo.