82 Ofertas de Redes Neuronales en Colombia

For more than 20 years, our global network of passionate technologists and pioneeringcraftspeople has delivered cutting-edge technology and game-changing consulting tocompanies on the brink of AI-driven digital transformation. Since 2001, we have grown into afull-service digital consulting company with 5500+ professionals working on a worldwideambition.Driven by the desire to make a difference, we keep innovating. Fueling the growth of ourcompany with our knowledge worker culture. When teaming up with Xebia, expect in-depthexpertise based on an authentic, value-led, and high-quality way of working that inspires allwe do.

About the Role

We are looking for a skilled and pragmatic Machine Learning Engineer to join our Data & AIteam at Xebia. In this role, you will design, develop, and deploy scalable machine learningsolutions that drive real-world impact. You will collaborate with data scientists, engineers, andproduct teams to turn prototypes into production-grade systems. This is a great opportunityfor someone passionate about applied machine learning, who values clean, efficient codeand understands how to make ML systems robust and maintainable in production.

What You’ll Do

• Translate business objectives into data science problems, selecting appropriate algorithms and evaluation strategies.
• Design and manage experiments to validate model performance and iterate on improvements.
• Collaborate with data engineers to build robust and scalable data pipelines for modeltraining and inference.
• Design feature stores and pipelines that support reproducibility, traceability, andversion control.
• Ensure high data quality through validation, cleansing, and transformationtechniques.
• Deploy and monitor machine learning models in production using frameworks like MLflow, SageMaker, Vertex AI, or Kubeflow.
• Build CI/CD workflows for ML systems to support retraining, testing, and versioning.
• Develop APIs or services for real-time inference and integrate models into user-facing applications.
• Implement monitoring solutions to track model performance, data drift, and serviceavailability.
• Conduct regular audits and retraining to ensure models remain accurate andunbiased over time.
• Automate testing of data pipelines, features, and ML components for regression andreproducibility.
• Partner with cross-functional teams to ensure ML solutions are aligned with business and product goals.
• Participate in peer reviews, architecture discussions, and technical documentation.
• Support internal knowledge-sharing initiatives and mentor junior engineers or data scientists
• Support technical evaluations of other consultants when required, contributing to the assessment of skills and alignment with project needs

What You Bring

• 5+ years of experience in a Machine Learning Engineer or Applied ML role.
• Experience working as a Data Scientist or Data Engineer in the past.
• Strong programming skills in Python and proficiency with data science libraries(pandas, NumPy, scikit-learn, etc.).
• Experience training and tuning models for real-world applications using frameworkslike TensorFlow, PyTorch, or similar.
• Solid understanding of machine learning principles, algorithm selection, andevaluation metrics.
• Hands-on experience deploying ML models to production environments (batch and/orreal-time).
• Familiarity with MLOps practices, including version control (Git), CI/CD,containerization (Docker), and orchestration tools (Kubernetes, Airflow).
• Knowledge of cloud platforms (AWS, GCP, or Azure) and their ML/AI toolkits.
• Experience working with large-scale data sets and building scalable ML pipelines.
• Excellent communication skills in English, both verbal and written

Nice to have:

• Experience with NLP, computer vision, or recommendation systems.
• Knowledge of fairness, explainability, or interpretability in ML models.
• Exposure to experiment tracking tools like MLflow, Weights & Biases, or Neptune.ai.
• Familiarity with data lakehouse architectures and modern data stacks (e.g., DeltaLake, Snowflake).
• Experience contributing to open-source ML projects or publishing research.

What We Offer

• 100% remote work to provide flexibility and work-life balance.
• Company laptop and necessary equipment to perform your role effectively.
• Competitive salary and benefits package aligned with local market benchmarks

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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!

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!

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)

Hey, it's time for you to join us showing the world we are the company that is changing paradigms, where we revolutionize the hours, minutes and seconds!

Do you want to know why Rappi?

️ WE SEE OPPORTUNITIES where others see problems

️ WE SEE CLOSE where others see distance

️ WE SEE ADRENALINE where others see pressure.

Join a team where we are all capable of EVERYTHING, where we all have the same opportunities, regardless of gender identity, race, religion, nationality, age, disability, training or experience.

Did you like what you have read so far? Find out how you will deliver magic together with us through your Rappi mission

Check out how it will impact our ecosystem:

As part of Rappi, you will be responsible for:

Responsibilities

• Design, build, and maintainRESTful APIs to serve machine learning models.
• Develop and orchestrate data and ML pipelines usingAirflow .
• Build scalable ML solutions and workflows usingPython .
• Query, transform, and analyze data usingSQL , preferably inSnowflake .
• UseDocker for containerization and deployment of applications.
• Work withGit for version control and collaborative development.
• Collaborate cross-functionally inagile environments (Scrum, Kanban).
• Contribute to automation and optimization of data and ML processes.

Requirements

• Strong programming skills inPython for backend and data science tasks.
• Practical experience withAirflow or similar orchestration tools.
• Proficient inSQL ; hands-on experience withSnowflake is a plus.
• Experience designing and maintainingAPIs .
• Familiarity withDocker for packaging and deployment.
• Solid understanding ofGit and collaborative workflows (e.g., pull requests, CI/CD).
• Experience working inagile teams .
• Analytical mindset, proactive attitude, and continuous improvement focus.
• Passion fordata ,automation , andcutting-edge technology .

Nice to Have (Not Required)

• Experience building or deployingAI Agents (e.g., using LangChain, OpenAI APIs).
• IntermediateEnglish for reading and understanding technical documentation.

Good and now, what are the requirements for me to be part of this neon universe?

.

Worker type:

Company:

For more information check our website and check our reviews on Glassdoor

we are waiting for you to build and deliver the magic together! #Rappi