12 Ofertas de Ingeniero Ia en Chile

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.

Create a Job Alert

Interested in building your career at Launch Potato? Get future opportunities sent straight to your email.

*

indicates a required field

First Name *

Last Name *

Email *

Phone *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Education

School Select.

Degree Select.

Select.

Select.

Start date year

End date month Select.

End date year

What is your preferred name? *

Any name you want to use other than your legal name. For example, you may wish to shorten your first name (e.g. Steven to Steve) or to be referred to by your middle name or a nickname.

Where are you located? (City, State, Country) *

Share your LinkedIn profile, portfolio, or personal website. *

What is your desired annual base salary (USD) for this full-time, remote position? *

Did someone at Launch Potato refer you? * Select.

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.

Join to apply for the Senior Machine Learning Engineer role at Tech Economy

2 weeks ago Be among the first 25 applicants

Join to apply for the Senior Machine Learning Engineer role at Tech Economy

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

Continue with Google Continue with Google

2 days ago Be among the first 25 applicants

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

Get AI-powered advice on this job and more exclusive features.

Continue with Google Continue with Google

Continue with Google Continue with Google

Continue with Google Continue with Google

Continue with Google Continue with Google

Continue with Google Continue with Google

Continue with Google Continue with Google

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 .

Santiago, Santiago Metropolitan Region, Chile 3 weeks ago

Santiago, Santiago Metropolitan Region, Chile 1 month ago

Santiago, Santiago Metropolitan Region, Chile 3 weeks ago

Santiago, Santiago Metropolitan Region, Chile
$24,000.00
-
$36,000.00
3 weeks ago

Santiago, Santiago Metropolitan Region, Chile 1 month ago

Santiago, Santiago Metropolitan Region, Chile 2 weeks ago

Santiago, Santiago Metropolitan Region, Chile 1 month ago

Santiago, Santiago Metropolitan Region, Chile 1 month ago

Santiago, Santiago Metropolitan Region, Chile 3 weeks ago

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

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

Join to apply for the Especialista en Automatización con IA y Desarrollo Web role at PICTOR

Join to apply for the Especialista en Automatización con IA y Desarrollo Web role at PICTOR

Company Description: PICTOR

Job Description: Especialista en Automatización con IA y Desarrollo Web

Sobre PICTOR

PICTOR es una agencia creativa y tecnológica que integra estrategia, arte e inteligencia artificial para redibujar la forma en que las marcas y organizaciones operan, comunican y evolucionan. No creemos en estructuras rígidas ni en soluciones repetidas.

Creemos en el diseño como forma de pensamiento, en la tecnología como lenguaje, y en la creatividad como motor de transformación.

Descripción del Rol

Buscamos una persona capaz de desarrollar sitios web modernos y de automatizar procesos de forma inteligente utilizando herramientas basadas en IA. Alguien que entienda cómo se conectan los sistemas, cómo fluyen los datos y cómo se optimizan tareas a través de herramientas como n8n, Make o Zapier, conectadas a APIs, modelos de lenguaje y plataformas externas.

Este rol requiere sensibilidad técnica, capacidad de programación, conocimiento funcional de la inteligencia artificial y, sobre todo, una mentalidad curiosa, flexible y creativa para moverse en un contexto que cambia constantemente.

Un entorno que cambia exige otra forma de pensar

No buscamos especialistas que repitan fórmulas, sino personas que puedan aprender, integrar nuevas herramientas y adaptarse con rapidez. Vivimos un momento en el que los lenguajes, las plataformas y las lógicas se transforman día a día.

En ese escenario, lo que más valoramos no es solo lo que sabes hacer hoy, sino tu capacidad de explorar lo que viene. La fluidez, la capacidad de aprender, reaprender y conectar puntos nuevos, es tan importante como la ejecución técnica.

En PICTOR, evolucionar no es una opción: es parte del trabajo.

Responsabilidades del cargo

• Desarrollar sitios web modernos (landing pages, sitios corporativos, micrositios) con estándares actuales.
• Automatizar procesos operativos y creativos usando herramientas como n8n, Make, Zapier, Pabbly, entre otras.
• Diseñar flujos que integren múltiples plataformas (Google Sheets, Notion, CRMs, APIs externas, etc.).
• Integrar modelos de IA existentes (OpenAI, Claude, etc.) a través de APIs o plataformas intermediarias.
• Crear conectores y scripts personalizados cuando sea necesario.
• Mantener la documentación clara de todos los procesos y flujos desarrollados.
• Trabajar en colaboración con equipos creativos, estratégicos y operativos.
  
  

• Dominio de HTML, CSS, JavaScript y frameworks como React o Next.js.
• Experiencia comprobable con herramientas de automatización como n8n, Make, Zapier.
• Conocimiento en consumo y diseño de APIs REST, webhooks, manejo de tokens, headers, etc.
• Experiencia con bases de datos (PostgreSQL, Supabase, Airtable o MongoDB).
• Capacidad para usar Git y trabajar en entornos colaborativos.
• Experiencia integrando herramientas de IA como parte de flujos de trabajo (deseable).
  
  

• Altamente creativo/a, con visión de procesos, sensibilidad técnica y ganas de explorar.
• Flexible, con capacidad de adaptarse a distintas herramientas, contextos y flujos de trabajo.
• Curioso/a por naturaleza, con hambre por aprender lo que aún no domina.
• Responsable y autónomo/a, con criterio propio y habilidades comunicacionales claras.
• Visual, con buen gusto en el diseño y sensibilidad por la experiencia del usuario.
  
  

• Formación técnica o profesional en Ingeniería en Computación, Sistemas, Automatización, Programación u otras áreas afines.
• También se considerarán perfiles sin título universitario, siempre que tengan un portafolio comprobable.
• Será requisito pasar una prueba técnica breve, orientada a flujos de automatización y desarrollo web.
  
  

• Jornada completa: 9:00 a 18:00 (hora Chile).
• Modalidad remota, con opción presencial en caso de estar en Chile.
• El/la postulante debe indicar sus pretensiones de renta líquida mensual. Envía tu CV y portafolio a: (email)

Las Condes, Santiago Metropolitan Region, Chile 2 days ago

Las Condes, Santiago Metropolitan Region, Chile 8 months ago

Las Condes, Santiago Metropolitan Region, Chile 1 week ago

Providencia, Santiago Metropolitan Region, Chile 1 week ago

Las Condes, Santiago Metropolitan Region, Chile $2,000.00-$3,000.00 1 week ago

¿Te atreves a ser protagonista y hacer las cosas de forma diferente?

¡En Itaú Chile seguimos creciendo! Somos parte de Itaú Unibanco, el mayor banco privado de América Latina, contamos con 93 Sucursales físicas, 14 Sucursales Digitales de atención remota y con un equipo de más de 4500 itubers.

¿Nuestra visión? Ser el banco líder en performance sustentable y satisfacción de clientes. Todo gracias a la colaboración entre itubers, diversidad e inclusión de los equipos, aprendizaje continuo para innovar constantemente en búsqueda de resultados ambiciosos.

¿Quieres ser parte del equipo itubers?

¡Impulsa el futuro de la banca con IA y Tradicional!

Buscamos Desarrollador en Inteligencia Artificial.

Tu misión

Desempeñar un rol clave en la creación de soluciones basadas en modelos LLM, orquestación de agentes inteligentes y visualización de datos, todo dentro de un entorno Cloud moderno y escalable sobre AWS .

Lo que harás

Diseñar e implementar soluciones basadas en modelos LLM utilizando LangChain y APIs de proveedores como OpenAI, Azure OpenAI o AWS Bedrock.

Aplicar técnicas de prompt engineering para optimizar la interacción con modelos generativos.

Desarrollar agentes inteligentes y pipelines de orquestación que integren datos estructurados y no estructurados.

Migrar y transformar datos utilizando Spark , AWS Glue , y bases vectoriales, habilitando el procesamiento eficiente en entornos cloud.

Desarrollar dashboards y reportes interactivos en Amazon QuickSight , habilitando la toma de decisiones basada en datos.

Colaborar con equipos de arquitectura y DevOps para asegurar despliegues eficientes en AWS , aplicando buenas prácticas de CI/CD.

Participar en workshops y mentorías técnicas para fomentar el uso responsable y efectivo de Gen AI en el banco.

• 3+ años de experiencia en desarrollo de software, ciencia de datos o ingeniería de IA.
• Data Engineering: Spark, AWS Glue, migración de datos, bases vectoriales (PgVector, Weaviate).
• Desarrollo: Python (FastAPI, LangChain), APIs RESTful, manejo de JSON y estructuras complejas.
• Metodologías Ágiles: Trabajo colaborativo, automatización de pipelines, control de versiones con Git.

Itaú es una institución que valora la diversidad e inclusión de personas en situación de discapacidad. Por ello, te invitamos a participar.

¿Quieres ser parte de la transformación? ¡Ven a ver esta y otras oportunidades!

¡Desafíate y forma parte de nuestro equipo!