167 Ofertas de Machine Learning en Colombia

Company Overview :

LeadsMarket is a forward-thinking tech company and an industry leader in lead generation for financial services. We operate a next-generation platform where buyers and sellers trade leads, calls, and clicks. Our platform serves as a real-time marketplace for publishers to connect with buyers across key verticals such as personal loans, business loans, and auto loans. We believe in a win-win-win-win approach, ensuring success for our clients, partners, and internal teams.

Position Overview :

We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. The ideal candidate will be responsible for developing, deploying, and optimizing machine learning models that drive data-driven insights and improvements across our platform. If you're passionate about leveraging data to solve real-world challenges and want to be part of a team that is reshaping the financial services landscape, we'd love to hear from you.

Key Responsibilities :

• Model Development & Deployment :

Design, build, and implement machine learning models and algorithms that enhance lead generation and conversion processes.

Analyze large datasets to identify trends, patterns, and anomalies that can inform model improvements.

Monitor model performance in real-time and implement strategies for continuous improvement.

Work closely with cross-functional teams including data scientists, engineers, product managers, and business stakeholders.

Document model development processes, experiments, and findings.

Qualifications :

What We Offer :

Join LeadsMarket and help us shape the future of lead generation in financial services through innovative machine learning solutions!

Job Description: Machine Learning Engineer

Location: Buenos Aires, Argentina (Remote work options available)

Company: Mechanized AI

About Us:

Mechanized AI is at the forefront of AI innovation, leveraging advanced technologies to solve complex real-world problems. We are dedicated to creating cutting-edge solutions that drive modernization and efficiency across industries. As a growing team of passionate professionals, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.

Key Responsibilities:

• Evaluate ML/DL/LLM models
• Detect and handle model decay & data drift

Experience Requirements:

• 4+ years in Machine Learning/Deep Learning/Generative AI (Experience in enterprise companies or startups; teaching or academic experience like Masters/PhD does not count)
• 1+ year experience with TensorFlow, PyTorch, or Keras
• 1+ year experience in deploying models to production and managing/monitoring them
• 1+ year with cloud platforms (AWS/GCP/Azure)
• 1+ year in MLOps
• 1+ year client-facing experience in AI projects
• 6+ months experience with Large Language Models (LLMs) and Generative AI

Skills & Expertise:

• Strong focus on at least one of the following AI specialities:
  • MLOps
  • Classic ML (tabular, regression)
  • Classic DL (Computer Vision, NLP, tabular, regression)
  • Generative AI
  • Deep Reinforcement Learning (DRL)
  • Full-stack ML
• Familiarity with Prompt Engineering: Approaches and best practices
• Experience with the following tools and techniques is highly desired:
  • PySpark
  • Agent development
  • Fine-tuning LLMs
  • Retrieval-Augmented Generation (RAG) optimization
  • Vector Databases
  • LLM Architecture & techniques for performance
  • Model quantization
  • Data privacy and security (e.g., adversarial attacks, red teaming, integrity)

Job Description: Machine Learning Engineer

Location: Buenos Aires, Argentina (Remote work options available)

Company: Mechanized AI

About Us:

Mechanized AI is at the forefront of AI innovation, leveraging advanced technologies to solve complex real-world problems. We are dedicated to creating cutting-edge solutions that drive modernization and efficiency across industries. As a growing team of passionate professionals, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.

Key Responsibilities:

• Evaluate ML/DL/LLM models
• Detect and handle model decay & data drift

Experience Requirements:

• 4+ years in Machine Learning/Deep Learning/Generative AI (Experience in enterprise companies or startups; teaching or academic experience like Masters/PhD does not count)
• 1+ year experience with TensorFlow, PyTorch, or Keras
• 1+ year experience in deploying models to production and managing/monitoring them
• 1+ year with cloud platforms (AWS/GCP/Azure)
• 1+ year in MLOps
• 1+ year client-facing experience in AI projects
• 6+ months experience with Large Language Models (LLMs) and Generative AI

Skills & Expertise:

• Strong focus on at least one of the following AI specialities:
  • MLOps
  • Classic ML (tabular, regression)
  • Classic DL (Computer Vision, NLP, tabular, regression)
  • Generative AI
  • Deep Reinforcement Learning (DRL)
  • Full-stack ML
• Familiarity with Prompt Engineering: Approaches and best practices
• Experience with the following tools and techniques is highly desired:
  • PySpark
  • Agent development
  • Fine-tuning LLMs
  • Retrieval-Augmented Generation (RAG) optimization
  • Vector Databases
  • LLM Architecture & techniques for performance
  • Model quantization
  • Data privacy and security (e.g., adversarial attacks, red teaming, integrity)

Company Overview:
LeadsMarket is a forward-thinking tech company and an industry leader in lead generation for financial services. We operate a next-generation platform where buyers and sellers trade leads, calls, and clicks. Our platform serves as a real-time marketplace for publishers to connect with buyers across key verticals such as personal loans, business loans, and auto loans. We believe in a win-win-win-win approach, ensuring success for our clients, partners, and internal teams.

Position Overview:
We are seeking a talented and innovative Machine Learning Engineer to join our dynamic team. The ideal candidate will be responsible for developing, deploying, and optimizing machine learning models that drive data-driven insights and improvements across our platform. If you’re passionate about leveraging data to solve real-world challenges and want to be part of a team that is reshaping the financial services landscape, we’d love to hear from you.

Key Responsibilities:

• Model Development & Deployment:
  • Design, build, and implement machine learning models and algorithms that enhance lead generation and conversion processes.
  • Collaborate with data engineers and software developers to integrate models into our production systems.
  • Develop and maintain robust pipelines for training, testing, and deploying ML models in a scalable and efficient manner.
• Data Analysis & Feature Engineering:
  • Analyze large datasets to identify trends, patterns, and anomalies that can inform model improvements.
  • Perform feature engineering to extract meaningful insights from complex datasets, ensuring models are both accurate and efficient.
• Optimization & Performance Monitoring:
  • Monitor model performance in real-time and implement strategies for continuous improvement.
  • Identify and troubleshoot performance bottlenecks, ensuring models operate at peak efficiency.
• Collaboration & Innovation:
  • Work closely with cross-functional teams including data scientists, engineers, product managers, and business stakeholders.
  • Stay current with the latest advancements in machine learning, data analytics, and related technologies, and apply innovative solutions to business challenges.
  • Contribute to research initiatives and technical discussions to continuously evolve our machine learning capabilities.
• Documentation & Reporting:
  • Document model development processes, experiments, and findings.
  • Prepare clear and concise reports for both technical and non-technical stakeholders.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.
• Proven experience in machine learning, statistical modeling, and data analysis.
• Strong programming skills in languages such as Python (preferred), R, or Java.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in SQL and familiarity with big data technologies.
• Solid understanding of algorithms, data structures, and software design principles.
• Excellent problem-solving skills and a proactive approach to overcoming challenges.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• A collaborative, innovative, and supportive work environment.
• The chance to make a significant impact in a rapidly growing tech company.

Join LeadsMarket and help us shape the future of lead generation in financial services through innovative machine learning solutions!

Company Description

Talan is an international advisory group on innovation and transformation through technology, with 5000 employees, and a turnover of 600M€. We offer our customers a continuum of services to support you at each key stage of your organization's transformation, with 4 main activities:

• CONSULTING in management and innovation : supporting business, managerial, cultural, and technological transformations.
• DATA & TECHNOLOGY to implement major transformation projects.
• CLOUD & APPLICATION SERVICES to build or integrate software solutions.
• SERVICE CENTERS of EXCELLENCE to support the latter through technology, innovation, agility, sustainability of skills and cost optimization.

Talan accelerates it's clients' transformation through innovation and technology. By understanding their challenges, with our support, innovation, technology and data, we enable them to be more efficient and resilient.

We believe that only a human oriented-practice of technology will make the new digital age an era of progress for all. Together let's commit!

Job Description

What would you be doing?

We need someone to help our client on different projects.

Responsibilities:

• Data acquisition and quality improvement through ETL processes.
• Production deployment of models in heterogeneous environments (APIs, pipelines, automations, chatbots, etc.).
• Optimization of Python and Spark code.
• Cloud tasks (Azure and AWS).
• Administration of Linux machines.

Qualifications

What we are looking for?

Experience:

• Experience in managing Linux environments.
• Knowledge of Cloud services (Azure and AWS).
• Familiarity with supervised (regression, random forest, SVM, etc.) and unsupervised (PCA, clustering, etc.) machine learning models.
• Strong proficiency in Python and/or Java.
• Experience in API development.
• Experience with orchestration, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Spanish (B2), English (B2)

Additional Information

What do we offer you?

• Full-time contract
• Smart Office Pack so that you can work comfortably from home.
• Training and career development
• Benefits and perks such as private medical insurance, life insurance, lunch and travel cards as part of the flexible remuneration package
• Possibility to be part of a multicultural team and work on international projects
• Hibrid position based in Málaga, Spain. Realocation is mandatory
• Possibility to manage work-permits.

If you are passionate about development & tech, we want to meet you!

Bold

Nuestra compañía fue fundada en Mayo de 2019 por un equipo de personas increíbles y con una experiencia única, el grupo de fundadores está conformado por los creadores de PayU Latam y otras empresas expertas en tecnología financiera. Estamos creando soluciones de pago y de banca para MiPymes, independientes y emprendedores en Colombia. Actualmente contamos con más de 450.000 clientes registrados en nuestra plataforma y hemos recibido más de USD $120 millones de fondos de inversión nacionales y extranjeros, somos una de las startups de más rápido crecimiento en LatAm en el sector fintech.

Bold es una fintech que provee una solución de pagos a los microempresarios para recibir pagos con tarjetas débito, crédito y billeteras a través de datáfonos y links de pago. Sin embargo, la visión de Bold es más ambiciosa que ser una empresa de pagos y estamos trabajando para volvernos una plataforma de servicios financieros y tecnológicos para las pequeñas empresas en el país complementando las soluciones de pagos y banca con otros productos de software conexos a toda nuestra propuesta de valor.
Nuestra misión en Bold es liberar el potencial de los emprendedores. En Bold creemos firmemente que podemos ayudar a los pequeños emprendedores a desarrollar sus negocios ofreciendo servicios financieros y tecnológicos hechos a su medida, que sean amigables y cercanos.

En Bold definimos los siguientes valores como los pilares de nuestra cultura organizacional: Maestría, Pensamiento crítico, Trabajo en equipo, Sentido de urgencia, Somos abiertos y el cliente el centro de lo que hacemos.

Para más información acerca de Bold visita nuestro sitio web:
El Rol

Como ML Ops Engineer estará a cargo de la construcción y mantenimiento de pipelines de ML. Estarás encargado junto a un equipo, del diseño, construcción y continua mejora de los pipelines de ML, es clave contar con una actitud de liderazgo en este frente. Trabajarás muy de cerca con científicos de datos y equipos de ingeniería para optimizar el rendimiento de pipelines de ML de cara a garantizar el uso oportuno de la señales a negocio de los modelos de ML

Deberás:

• Diseñar, construir y mantener APIs desplegadas en AWS

• Diseñar, construir y mantener pruebas unitarias y de integración

• Aportar en decisiones de arquitectura y selección de herramientas y procesos

• Dar puntos de vista y generar crítica constructiva

• Diseñar, construir, implementar y mantener pipelines de machine learning end-to-end, desde la ingestión de datos y el entrenamiento del modelo hasta la implementación y monitorización en producción.

• Establecer y mantener protocolos para la validación y monitorización de modelos, asegurando su rendimiento y fiabilidad en el tiempo.

• Diseñar, crear, mantener, resolver problemas y optimizar los pasos del pipeline de ML

• Definir las mejores prácticas de ingeniería de ML dentro de los equipos de productos y ciencia de datos.

• Trabajar en estrecha colaboración con los equipos de científicos de datos y de ingeniería para optimizar el rendimiento y la eficiencia de los pipelines de ML y para garantizar que se cumplan los estándares de calidad.

• Materializar pipelines de ML creados por científicos de datos

Beneficios

• ️ Auxilio de salud

• Acciones de la compañía de etapa temprana con alto potencial de retorno

• Contrato a término indefinido

• Salario competitivo

• Trabajo remoto de tiempo completo

• Cultura de aprendizaje y crecimiento

• Tecnologías y procesos de clase mundial

• ️ Días libres adicionales a las vacaciones

• Experiencia de más de 5 años con alguno de los siguientes lenguajes: Python o Java.

• Experiencia en el uso de herramientas de big data (Spark, Hadoop, etc.)

• Experiencia de mínimo un año con servicios AWS, Azure o GCP, preferiblemente Serverless.

• Experiencia con herramientas para el desarrollo, despliegue y monitoreo de modelos de ML como MLFlow, KubeFlow, AWS Sagemaker, GCP Vertex AI o Azure ML.

• Familiaridad con las técnicas y herramientas de MLOps, como el versionado de modelos, pruebas A/B o multivariantes, y la monitorización de modelos.

• Experiencia trabajando con equipos multidisciplinarios, incluyendo científicos de datos, ingenieros de datos y analistas de negocio.

• Experiencia mínima de un año con DevOps, CI/CD, Docker y/o Kubernetes

• Experiencia en codificación segura y OWASP

• Experiencia con AWS: CDK, CloudFormation, RDS, DynamoDB, Lambda, API Gateway.

• Experiencia con sistemas de orquestación como Airflow, AWS Step Functions, etc.

• Deseable experiencia con Amazon RDS

• Deseable tener conocimientos en DataOps.

Autorización de Tratamiento de Datos Personales

Al realizar la postulación y brindar tus datos personales, en cumplimiento a la normatividad vigente de protección de datos personales, autorizas de forma inequívoca y voluntaria el tratamiento de tus datos personales, de acuerdo con las finalidades contenidas en la Política de Tratamiento de Datos Personales de las Compañías Bold, disponibles en su pagina web y .
Como Titular de Datos Personales, te asisten los derechos previstos en la Ley 1581 de 2012 y demás normas que la complementen o modifiquen, en especial, los derechos a conocer, actualizar, rectificar o solicitar la supresión de tus datos, y revocar la autorización que has otorgado para el uso de tus Datos Personales. Para el ejercicio de tus derechos como titular, las Compañías Bold ponen a tu disposición los siguientes canales: Para los casos de Bold.co y Bold Capital: Correo electrónico: , Chat Bold: , Llamada Telefónica: 60(1)

Para los casos de Bold CF: Correo electrónico: , Chat Bold: , Llamada Telefónica: 60(1)

Role Overview

Será responsable de la investigación y desarrollo de modelos de procesamiento de lenguaje natural aplicados a productos del sector salud, como el auto completamiento de reportes médicos y la transcripción por voz. Trabajará en un entorno de alto estándar técnico, colaborando en la definición, implementación y despliegue de modelos listos para producción.

• Investigación y desarrollo de soluciones NLP aplicadas al sector salud (ej. el autocompletamiento de reportes médicos, dictado por voz, extracción de entidades clínicas).
• Preparación de entregables con documentación técnica suficiente para divulgación científica (journals, conferencias).
• Colaborar con equipos de QA, producto y desarrollo para asegurar entregas alineadas a estándares de calidad.
• Participar en revisiones de código, diseño técnico y planificación de tareas.
• Despliegue de modelos optimizados para producción, considerando eficiencia y uso de recursos computacionales.
  
  
• +5 años de experiencia en desarrollo con Python.
• Experiencia con modelos y arquitecturas NLP como Transformers, BERT, GPT, etc.
• Dominio de frameworks de NLP como Hugging Face Transformers, spaCy, NLTK o Gensim.
• Experiencia con PyTorch, TensorFlow o Keras.
• Conocimiento en optimización y despliegue de modelos (TensorRT, ONNX, uso de GPU/TPU).
• Familiaridad con CI/CD y control de versiones en GitHub.
  
  
• Conocimientos básicos de SQL.
• Familiaridad con AWS (S3, ECS, RDS)
• Conocimientos de Docker y pruebas automatizadas (unitarias o funcionales).
• Experiencia desarrollando APIs (REST o GraphQL).
  
  

• Investigación y desarrollo de soluciones NLP aplicadas al sector salud (ej. el autocompletamiento de reportes médicos, dictado por voz, extracción de entidades clínicas).
• Evaluación de performance utilizando métricas relevantes (ej. WER para dictado por voz, precisión, F1, etc.).
• Preparación de entregables con documentación técnica suficiente para divulgación científica (journals, conferencias).
• Colaborar con equipos de QA, producto y desarrollo para asegurar entregas alineadas a estándares de calidad.
• Participar en revisiones de código, diseño técnico y planificación de tareas.
• Despliegue de modelos optimizados para producción, considerando eficiencia y uso de recursos computacionales.
  
  

• +5 años de experiencia en desarrollo con Python.
• Experiencia con modelos y arquitecturas NLP como Transformers, BERT, GPT, etc.
• Dominio de frameworks de NLP como Hugging Face Transformers, spaCy, NLTK o Gensim.
• Experiencia con PyTorch, TensorFlow o Keras.
• Conocimiento en optimización y despliegue de modelos (TensorRT, ONNX, uso de GPU/TPU).
• Familiaridad con CI/CD y control de versiones en GitHub.
  
  

• Experiencia en investigación científica o publicación de resultados.
• Conocimientos básicos de SQL.
• Familiaridad con AWS (S3, ECS, RDS)
• Conocimientos de Docker y pruebas automatizadas (unitarias o funcionales).
• Experiencia desarrollando APIs (REST o GraphQL).
  
  

• Horario laboral: Lunes a viernes, de 9:00 a 18:00 hs (Zona Horaria Ciudad de México)
• Modalidad de trabajo: 100% remoto.
• Entorno dinámico, flexible y colaborativo.
• Posibilidades de crecimiento profesional.
• Salario competitivo en USD
  
  

Ciudad Bolivar, Capital District, Colombia 1 week ago

Join to apply for the Senior Machine Learning Engineer role at Launch Potato .

2 days ago Be among the first 25 applicants.

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 connects advertisers to customers across the consumer journey, from awareness to purchase.

The company is headquartered in Delray Beach, Florida, with an international team across over a dozen countries. Launch Potato values a diverse, energetic culture and entrepreneurial spirit, always seeking like-minded teammates.

YOUR ROLE
You will build systems that generate millions in revenue through personalization and optimization. Develop and deploy models to understand user preferences, optimize content discovery, and personalize experiences at scale. This role offers direct impact on business metrics daily.

What You'll Do

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

Interested in making an impact at a profitable, high-growth company? Apply now!

We are committed to diversity, equity, and inclusion. We are proud to be an Equal Employment Opportunity employer, valuing diversity and non-discrimination based on race, religion, gender, age, disability, and other protected characteristics.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Advertising Services