13 Ofertas de Desarrollador Ia en Chile

Si eres un experto en datos con visión estratégica y habilidades técnicas avanzadas, ¡te queremos en nuestro equipo! En PlanOK, la empresa tecnológica líder en el sector inmobiliario y de la construcción ️ buscamos a un Desarrollador Senior Especializado en IA para liderar la implementación técnica y estratégica de nuestra capa de datos en una empresa SaaS del rubro inmobiliario. Este rol combina arquitectura de datos, machine learning, IA y gobierno de datos, permitiendo la autonomía analítica en la exploración y explotación de datos.

¿Quiénes somos?

En PlanOK contamos con un excelente equipo encargado de brindar soluciones tecnológicas para el rubro Inmobiliario PropTech y Construcción ConstruTech. Por medio de distintas plataformas web enfocadas en cada una de sus etapas. Más de 250 clientes en Chile, Perú, Colombia y México ya nos consideran sus socios estratégicos.

Lo Que Harás

• Diseñar, desarrollar e implementar soluciones basadas en IA y LLMs para automatizar procesos del sector inmobiliario.
• Colaborar con nuestro equipo de desarrollo en la integración de modelos de IA en nuestra arquitectura existente.
• Crear agentes de IA que interactúen con nuestra plataforma y proporcionen soluciones inteligentes.
• Investigar y aplicar nuevas tecnologías y enfoques en el campo de la IA
• Participar en la definición de la arquitectura y las mejores prácticas para implementaciones de IA
  
  

• Experiencia demostrable desarrollando soluciones con LLMs y tecnologías de IA.
• Sólidos conocimientos en Python y desarrollo de APIs.
• Experiencia con JavaScript/TypeScript y frameworks modernos.
• Familiaridad con frameworks de LLM/IA como Hugging Face, LangChain, LlamaIndex o similares.
• Capacidad para trabajar en equipo y comunicar ideas técnicas complejas.
• Experiencia con desarrollo basado en tests y buenas prácticas de calidad de código Pasión por las nuevas tecnologías y aprendizaje continuo
  
  

• Frontend: Nuxt.js
• Backend: Python (Django 5.0 con DRF)
• Infraestructura: Docker, AWS, PostgreSQL, Redis
• Metodología: Ágil (Jira, GitHub, Pull Requests, Git Flow, CI/CD)
• Calidad: Desarrollo basado en tests (TDD), cobertura de código
  
  

• Equilibrio vida-trabajo: Semana laboral de 39 horas, viernes con salida temprano, sin reuniones en la tarde de viernes
• Flexibilidad: Posibilidad de trabajar desde cualquier lugar hasta 30 días al año
• Tiempo personal: Día libre por cumpleaños, 2 días administrativos anuales
• Beneficios para familia: Días libres por matrimonio, nacimiento, primer día escolar de tus hijos
• Salud: Seguro complementario, convenios dentales y oftalmológicos, vacuna contra influenza, beneficios Betterfly Reconocimiento: Sistema de OK Points canjeables por diversos beneficios
• Crecimiento: Apoyo para estudios y capacitación continua

Las Condes, Santiago Metropolitan Region, Chile 4 days ago

Las Condes, Santiago Metropolitan Region, Chile 8 months ago

Las Condes, Santiago Metropolitan Region, Chile 1 week ago

Las Condes, Santiago Metropolitan Region, Chile 8 months ago

Las Condes, Santiago Metropolitan Region, Chile 8 months ago

Las Condes, Santiago Metropolitan Region, Chile 1 week ago

Las Condes, Santiago Metropolitan Region, Chile 8 months ago

Reconocido Holding con más de 20 años de presencia en el mercado de soluciones se encuentra en búsqueda de un(a) Técnico profesional o técnico de nivel medio del área TI o administración para desempeñar el cargo de Desarrollador Full Stack (IA y Frontend) .

Requisitos Excluyentes:

• Integración de APIs de IA (LLMs, servicios de ML)
• Bases de datos SQL/NoSQL
• Experiencia en entornos regulados (banca, finanzas)
• Buenas prácticas de seguridad y control de accesos
• Diseño UX/UI enfocado en herramientas inteligentes
• Colaboración con equipos de datos, diseño y producto
• Entornos cloud y despliegue (Docker, Kubernetes, CI/CD)
• Idealmente haber trabajado junto a equipos de data science, ciberseguridad y compliance para asegurar que las soluciones de IA cumplan con los estándares regulatorios y de experiencia de usuario. Además, colaborar en el diseño de arquitecturas escalables en GCP, siguiendo buenas prácticas de DevOps, CI/CD y seguridad bancaria.
• Experiencia de 2 años en cargos similares
• Experiencia en desarrollo de aplicaciones web modernas, orientado a construir interfaces eficientes, seguras y usables para soluciones de inteligencia artificial en el ámbito bancario.
• Especialización en conectar modelos y servicios de IA con experiencias front-end intuitivas que permitan a colaboradores o clientes interactuar con herramientas analíticas, automatizaciones o asistentes virtuales de forma simple y confiable.
• Dominio de tecnologías frontend como React, TypeScript, Tailwind CSS o similares, y experiencia en entornos backend sobre Node.js, Python (FastAPI o Flask), y bases de datos SQL/NoSQL.
• Experiencia trabajando con APIs de modelos de IA (OpenAI, Azure, Vertex AI, entre otros) y conocimiento del ciclo de vida de soluciones basadas en ML, desde el prototipado hasta la puesta en producción.
• Contrato: Indefinido
• Jornada de trabajo: Lunes a Viernes 08:45 a 18:30 hrs.
• Modalidad: Híbrida

Beneficios:

• Seguro de Salud Complementario
• Presente para el día de su cumpleaños
• Aguinaldo en septiembre y diciembre

Es una empresa creada a fines de 1997 para proveer soluciones informáticas a clientes de la banca nacional; posteriormente, se extiende al resto de la industria y amplía su oferta en servicios. Actualmente, está presente en el mercado financiero, retail, telecomunicaciones y otros sectores, siendo una de las empresas con más prestigio y presencia en estos servicios.

WHO ARE WE?

Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase.

The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners.

YOUR ROLE

You will build systems that drive millions in revenue through intelligent personalization and optimization. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands-on role where you'll see direct impact on business metrics daily.

What You'll Do

1. Build and deploy ML models serving 100M+ predictions daily
2. Develop ranking algorithms that balance relevance, diversity, and revenue
3. Implement real-time personalization features with <50ms latency requirements
4. Run A/B tests and analyze model performance against business KPIs
5. Optimize models for production (latency, throughput, cost)
6. Collaborate with product teams to identify new personalization opportunities

What We're Looking For

• 5+ years building production ML systems
• Strong experience with ranking algorithms (collaborative filtering, deep learning, learning-to-rank)
• Proficiency in Python and ML frameworks (TensorFlow/PyTorch)
• Experience with distributed computing (Spark, Ray)
• Track record of shipping models that improve business metrics
• BS/MS in Computer Science, Machine Learning, or related field

Want to make your impact in a profitable, high-growth company? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase.

The company is headquartered invibrant downtown Delray Beach, Florida , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners.

YOUR ROLE

Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.

What You'll Do

• Lead a team of 3-5 ML engineers building personalization systems
• Define technical roadmap aligned with business objectives
• Drive improvements in model quality, system reliability, and development velocity
• Establish best practices for model development and deployment
• Partner with product, data science, and engineering teams
• Contribute hands-on to critical model development (50% coding)

What We're Looking For

• 7+ years in ML engineering, 2+ years leading technical teams
• Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
• Proven ability to mentor engineers and drive technical decisions
• Experience managing stakeholder relationships and project delivery
• BS/MS in Computer Science or equivalent experience

Nice to Have

• Experience in adtech, e-commerce, or content platforms
• Published papers or significant ML contributions
• Experience with multi-objective optimization
• Knowledge of reinforcement learning for personalization

Want to make your impact in a profitable, high-growth company? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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Applications must be submitted in English

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the #1 ranked consulting firm on Glassdoor’s Best Places to Work list and have maintained a spot in the top four on Glassdoor’s list since its founding in 2009. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHO YOU’LL WORK WITH

You’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

WHERE YOU’LL FIT WITHIN THE TEAM
As a Machine Learning Engineer, you’ll help drive innovation by integrating AI and data-driven solutions into strategy and execution. Whether launching new ventures, reimagining user experiences, or building tech-enabled products, you’ll work at the intersection of analytics and impact—turning bold strategies into breakthrough results.

WHAT YOU’LL DO

• Build and deploy machine learning models in production environments

• Design and implement CI/CD pipelines and monitoring tools

• Collaborate closely with cross-functional teams to deliver scalable, real-world solutions

• Participate in agile experimentation and iterative development

• Share knowledge and coach others on best practices and tools

• Contribute to internal R&D and learning initiatives between projects

• Explore and apply state-of-the-art AI research

ABOUT YOU
Must Have:

• 3+ years of relevant experience or an advanced degree

• Strong theoretical and practical experience in machine learning

• Proficiency in Python and good software engineering practices

• Experience with cloud platforms and containerization

• Familiarity with ML lifecycle, from experimentation to deployment

• Ability to expose ML models as services for integration

• Strong communication skills in English and Portuguese or Spanish

• Comfortable with feedback, collaboration, and autonomy

Nice to Have:

• Experience with R&D or academic research

• Familiarity with multiple languages or tools

• Desire to publish technical content and mentor others

WHAT TO EXPECT WORKING WITH US
At the beginning:

• A warm welcome and full onboarding support

• Initial project with clear scope and team integration

• Assigned buddy and Professional Development (PD) advisor

During your first case:

• Immersive experience working with a real client

• Hands-on delivery and deployment of ML solutions

• Real-time feedback and development discussions

In between cases:

• Time to recharge and reflect

• Opportunities to contribute to R&D and internal knowledge sharing

• Option to write for our engineering blog

During your second case and beyond:

• Exposure to diverse industries and increasing challenge

• Growing technical and leadership responsibilities

• Continued development supported by PD advisor

• Space for pro bono work and passion projects

BENEFITS

• Apple equipment

• 26 weeks of paid parental leave for all parents

• Life and medical insurance

• Supplementary health and dental coverage

• Performance-based annual bonus

• Leave of absence (1–12 months, unpaid)

• Gympass membership

• Headspace app subscription

• Language study subsidies (English, Spanish, Portuguese)

Note: Benefits may vary based on location and are subject to change.

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Applications must be submitted in English

What Makes Us a Great Place To Work

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the #1 ranked consulting firm on Glassdoor’s Best Places to Work list and have maintained a spot in the top four on Glassdoor’s list since its founding in 2009. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

Who You’ll Work With

You’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

WHERE YOU’LL FIT WITHIN THE TEAM

As a Machine Learning Engineer, you’ll help drive innovation by integrating AI and data-driven solutions into strategy and execution. Whether launching new ventures, reimagining user experiences, or building tech-enabled products, you’ll work at the intersection of analytics and impact—turning bold strategies into breakthrough results.

What You’ll Do

• Build and deploy machine learning models in production environments
• Design and implement CI/CD pipelines and monitoring tools
• Collaborate closely with cross-functional teams to deliver scalable, real-world solutions
• Participate in agile experimentation and iterative development
• Share knowledge and coach others on best practices and tools
• Contribute to internal R&D and learning initiatives between projects
• Explore and apply state-of-the-art AI research
  
  

• 3+ years of relevant experience or an advanced degree
• Strong theoretical and practical experience in machine learning
• Proficiency in Python and good software engineering practices
• Experience with cloud platforms and containerization
• Familiarity with ML lifecycle, from experimentation to deployment
• Ability to expose ML models as services for integration
• Strong communication skills in English and Portuguese or Spanish
• Comfortable with feedback, collaboration, and autonomy
  
  

• Experience with R&D or academic research
• Familiarity with multiple languages or tools
• Desire to publish technical content and mentor others
  
  

• A warm welcome and full onboarding support
• Initial project with clear scope and team integration
• Assigned buddy and Professional Development (PD) advisor
  
  

• Immersive experience working with a real client
• Hands-on delivery and deployment of ML solutions
• Real-time feedback and development discussions
  
  

• Time to recharge and reflect
• Opportunities to contribute to R&D and internal knowledge sharing
• Option to write for our engineering blog
  
  

• Exposure to diverse industries and increasing challenge
• Growing technical and leadership responsibilities
• Continued development supported by PD advisor
• Space for pro bono work and passion projects
  
  

• Apple equipment
• 26 weeks of paid parental leave for all parents
• Life and medical insurance
• Supplementary health and dental coverage
• Performance-based annual bonus
• Leave of absence (1–12 months, unpaid)
• Gympass membership
• Headspace app subscription
• Language study subsidies (English, Spanish, Portuguese)
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Business Consulting and Services

Referrals increase your chances of interviewing at Tech Economy by 2x

Las Condes, Santiago Metropolitan Region, Chile 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

• Offering life-changing opportunities for talented software professionals across the Americas.
• Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
• Our 4.2-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.
  
  

• You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
  
  

• 5+ years of professional experience as a Machine learning Engineer or in a similar role.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Design, develop, and optimize machine learning models using LangChain and Python.
• Develop APIs, databases, and user-facing services for delivering ML/AI solutions.
• Develop and maintain data pipelines for training and model evaluation.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Extensive experience with LLMs, prompt engineering, and AI-powered applications.
• Strong understanding of retrieval-augmented generation (RAG) and vector databases.
• Experience integrating and deploying ML models in production environments.
• Develop and maintain clear documentation on ML workflows, architectures, and best practices.
• Familiarity with cloud platforms (AWS, GCP, Azure) and scalable AI infrastructure.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile / Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
• Ability to consistently work 40 hours per week.
  
  

• Competitive pay.
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Continuing education opportunities
• Opportunity to grow and expand your career
  
  

Join to apply for the Machine Learning Engineer - Remote - Latin America role at FullStack Labs

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2 days ago Be among the first 25 applicants

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About FullStack

FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.

• Offering life-changing opportunities for talented software professionals across the Americas.
• Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
• Our 4.2-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.
  
  

• Offering life-changing opportunities for talented software professionals across the Americas.
• Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
• Our 4.2-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.
  
  

• You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
  
  

• 5+ years of professional experience as a Machine learning Engineer or in a similar role.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Design, develop, and optimize machine learning models using LangChain and Python.
• Develop APIs, databases, and user-facing services for delivering ML/AI solutions.
• Develop and maintain data pipelines for training and model evaluation.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Extensive experience with LLMs, prompt engineering, and AI-powered applications.
• Strong understanding of retrieval-augmented generation (RAG) and vector databases.
• Experience integrating and deploying ML models in production environments.
• Develop and maintain clear documentation on ML workflows, architectures, and best practices.
• Familiarity with cloud platforms (AWS, GCP, Azure) and scalable AI infrastructure.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can-do attitude.
• Experience working on Agile / Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
• Ability to consistently work 40 hours per week.
  
  

• Competitive pay.
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Continuing education opportunities
• Opportunity to grow and expand your career
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at FullStack Labs by 2x

Get notified about new Machine Learning Engineer jobs in Chile .

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Somos Atcom

Importante empresa del rubro de cobranzas se encuentra en búsqueda de un Data Science para incorporarse a su equipo de trabajo.

¿Qué perfil debes tener para postular?

1 año de experiencia comprobable en ciencia de datos y participación en proyectos de BI.

Dominio de Python para análisis de datos y modelado estadístico.

Experiencia en machine learning y redes neuronales (MLP, CNN, etc.).

Conocimiento de frameworks como scikit-learn, TensorFlow o PyTorch.

Sólidos conocimientos en estadística, regresión, clustering y técnicas de segmentación.

Manejo de SQL para consultas y extracción de datos desde bases relacionales.

Experiencia en visualización de datos y creación de reportes ejecutivos.

Deseables:

Experiencia previa en proyectos de recaudación, financieros o bancarios.

Herramientas BI y de visualización.

Experiencia con herramientas como Power BI, Tableau o Looker.

Experiencia armando modelos que alimenten dashboards o reportes estratégicos.

¿Qué funciones desempeñarás en este cargo?

Ser el primer integrante del equipo de BI, participando en el diseño de la arquitectura analítica.

Implementar modelos de predicción y comportamiento de usuarios, clientes, pagos, riesgo, etc.

Definir buenas prácticas en ciencia de datos dentro de la organización.

Apoyar en la identificación de perfiles adicionales para completar el equipo, por ejemplo: Data Engineer, BI Analyst.

Las condiciones de esta oferta son:

Horario de trabajo: Lunes a jueves de 9:00 a 19:00 horas, viernes de 9:00 a 18:00 horas.

Modalidad de trabajo: Híbrido, inicialmente de lunes a jueves presencial y viernes remoto.

Tipo de contrato: 2 plazos fijos y luego indefinido.-Requerimientos- Educación mínima: Universitaria / I.P. / C.F.T.
2 años de experiencia
Conocimientos: SQL Server, Python, Big Data
Palabras clave: datos, data, aprendizaje, learning