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Machine Learning (ML) is a branch of artificial intelligence where computers learn from data to make predictions or decisions without explicit programming. It powers innovations like recommendation systems, image recognition, natural language processing, and predictive analytics. Businesses leverage ML to enhance customer experiences, optimize operations, and uncover data-driven insights.
Ready to harness the power of machine learning for your project? The best way to find a quality Machine Learning Expert is on Freelancer. Whether you need help with data analysis, predictive modeling, or developing AI-driven applications, Freelancer has Machine Learning Experts for every budget. Plus, with Freelancer's Milestone Payment system, you only pay when you're 100% satisfied.
Publica tu proyecto gratis y conéctate con Machine Learning Experts profesionales listos para comenzar hoy. Compara ofertas, calificaciones y portafolios y solo paga cuando estés satisfecho con el trabajo.
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Machine Learning Experts en línea
Sin pagos adelantados: paga únicamente cuando estés satisfecho con el trabajo entregado

5,8
5,8
100%

San Carlos, Chile
$22 USD por hora
Soy Alonso Ahumada, Ingeniero Estadístico de profesión y me dedico a ello desde el año 2015, principalmente en el ámbito de la consultoría, ejerciendo de forma independiente y para una Big Four, realizando modelos estadísticos para las principales entidades financieras de Latinoamérica. A principios de 2019 me independicé, pero sigo participando en proyectos del área de Riesgo Financiero como consultor externo de la empresa, además de expandir mis servicios a todo tipo de industrias. Como persona, me considero una persona confiable, responsable y muy comprometido con los objetivos que me propongo, por eso mismo, permanezco en constante actividad de capacitación para fortalecer mis habilidades y conocimientos, estudiando nuevas metodologías y tópicos a fines, que se entrelazan con mi profesión y otras áreas.

4,0
4,0
0%

Santiago, Chile
$40 USD por hora
Gobierno de datos. Programación en Django, Python y VBA. Desarrollo de soluciones (back-end y front-end). Ejecución de procesos ETL. Captura de datos externos (Web scraping). Automatización de procesos y gestión documental. Desarrollo WEB (HTML, CSS, JavaScript).

2,1
2,1
100%

Concepción, Chile
$25 USD por hora
Data Analyst with experience in Machine Learning, specializing in predictive models. Focused on strategic solutions that optimize business performance.

1,7
1,7
100%

Santiago, Chile
$50 USD por hora
I work in the science of data. I have a lot of experience in credit risk modeling.

1,0
1,0
100%

antofagasta, Chile
$20 USD por hora
Product Development Engineer specialized in mechanical projects and innovative designs. Certified in ✅Autodesk Inventor with 7 years of outstanding experience in ✅3D/CAD modeling. Expert in producing ✅DXF files for ✅CNC/laser/plasma cutting, with extensive expertise in cubication and sheet metal design. Advanced proficiency in ✅Autodesk Inventor, ✅SolidWorks, ✅AutoCAD, ✅Simplify3D, ✅ Libellulla, and ✅Excel, ensuring precision and efficiency in all projects. Committed to customer orientation and teamwork, distinguished by a proactive approach to problem-solving and delivering innovative solutions. Organized, responsible, and always ready to adapt to customer needs and demands to meet their expectations.

0,6
0,6
100%

Valparaiso, Chile
$20 USD por hora
I am an Electronic Engineer with a solid academic and practical background in Robotics and Computer Vision. My experience comes from real-world implementation in academic labs and applied projects. I have successfully developed autonomous mapping robots using ROS 2 and integrated perception systems using LiDAR and Thermal Cameras. I specialize in bridging the gap between hardware (sensors/microcontrollers) and software. What I can do for you: • ROS Development: I have experience configuring ROS 1 (Kinetic/Melodic) and ROS 2 (Humble) environments for indoor navigation. • Computer Vision: I can implement and fine-tune YOLO models for object detection, a skill I applied in my thesis for a 6-DOF robotic arm. • Embedded Programming: I write efficient code in Python and C++ for Arduino, ESP32, and Raspberry Pi. • Sensor Integration: Experience merging data from IMUs, Encoders, and LiDARs for reliable odometry. I am detail-oriented and committed to delivering functional, well-documented code.
A Machine Learning Expert is a specialist who designs, trains, and deploys algorithms that allow software to learn patterns from data and make predictions or decisions without being explicitly programmed. Hiring a Machine Learning expert gives your business access to predictive modeling, computer vision, natural language processing, and recommendation systems that turn raw data into measurable commercial outcomes. Whether you need a fraud detection model, a chatbot, a demand forecasting pipeline, or a custom large language model integration, a skilled ML engineer translates messy real-world data into production-ready intelligence.
A Machine Learning specialist owns the full lifecycle of an ML project, from problem framing to deployment and monitoring. Their work is judged on model accuracy, inference speed, scalability, and the business impact of the predictions they produce.
Typical deliverables from a freelance Machine Learning engineer include:
Topical fluency in the right tooling is one of the clearest signals of a competent ML engineer. Look for hands-on experience with the libraries and platforms that match your stack.
Machine learning is now embedded across nearly every sector. Freelance ML consultants commonly serve:
Strong ML talent combines mathematical depth, software engineering discipline, and clear business reasoning. When reviewing freelancers, weigh the following signals:
Useful interview questions to ask shortlisted candidates:
Freelancer.com gives you access to a global pool of vetted machine learning engineers, AI researchers, and data scientists across every specialization, from computer vision PhDs to applied LLM developers. You can post a project on Freelancer.com and receive competitive bids within hours, compare portfolios side by side, and choose a freelancer whose past work matches your domain. Clients set their own budgets, and Milestone Payments hold funds securely until deliverables are approved. Whether you need a one-off proof of concept or a long-term ML partner, freelancers on Freelancer.com cover the full spectrum of experience and pricing.
Ready to add predictive intelligence to your product or business?
Hiring a Machine Learning expert is straightforward when your brief is specific about the problem, the data, and the success metric. The process below helps you attract qualified bids and select a freelancer whose skills genuinely match your project. Expect to move from posting to awarding within a few days for most engagements.
The quality of your project post is the single biggest determinant of bid quality. A precise brief filters out generalists and attracts engineers with the specific ML expertise your project requires. Head to the
Bids are short proposals, not just price quotes. They reveal how each freelancer interprets your problem, what modeling approach they suggest, and how realistic their timeline is. Read carefully and shortlist candidates whose technical reasoning aligns with your brief.
The final decision combines proposal quality with profile evidence. Look at the consistency of past ML work rather than a single standout example, and weigh client reviews that mention reliability and clear communication. For machine learning, end-to-end delivery experience matters more than impressive but isolated demos.
A focused proof of concept can be delivered in one to three weeks, while production-grade systems with data pipelines, model training, deployment, and monitoring usually run from one to three months. Timelines depend heavily on data readiness — projects with clean, labeled data move significantly faster than those requiring custom data collection or annotation.
Data scientists focus on analysis, statistical modeling, and business insight, often producing reports and dashboards. Machine learning engineers concentrate on building, optimizing, and deploying models that run in production software. Many freelancers cover both areas, but for shipping live ML features you should prioritize candidates with strong engineering and MLOps experience.
In most cases yes, since proprietary data is what makes a model valuable to your business. A good ML freelancer will help you assess data quality, identify gaps, and recommend collection or labeling strategies. For some problems, public datasets or pre-trained foundation models can reduce the data burden substantially.
A freelancer is ideal when you have a defined scope, want direct communication with the person doing the work, and need cost-efficient delivery. Agencies suit larger, multi-disciplinary builds requiring project managers, designers, and engineers in parallel. For most prototypes, custom models, and AI feature integrations, a skilled individual freelancer delivers faster and with less overhead.
Yes. Experienced ML engineers regularly integrate models into existing applications via REST APIs, gRPC, message queues, or cloud services like AWS, Azure, and Google Cloud. Specify your stack in the project brief so candidates can confirm compatibility upfront.

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