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Machine Learning Engineer Job Opening In WorkFromHome – Now Hiring Creai


Job description

Overview

En Creai, nos especializamos en aprovechar el poder de la inteligencia artificial y el aprendizaje automático para transformar negocios.

Nuestra misión es ayudar a los clientes a reducir costos, aumentar la eficiencia y desbloquear nuevas oportunidades mediante soluciones de IA de vanguardia.

Descripción del Puesto

Buscamos un/a Ingeniero /a de Software para Machine Learning que combine habilidades avanzadas en programación, análisis de datos y aprendizaje automático para diseñar e implementar soluciones escalables y eficientes.

Este rol es clave para desarrollar modelos predictivos, automatizar procesos y generar valor directo para nuestros clientes a través del uso inteligente de la tecnología.

Participarás en todas las etapas de los proyectos de ciencia de datos, desde la exploración y modelado hasta la implementación en producción, colaborando con equipos multidisciplinarios y utilizando herramientas de cloud, frameworks de machine learning y buenas prácticas de ingeniería.

Responsabilidades

  • Diseñar, desarrollar y mantener soluciones de machine learning desde la concepción hasta su implementación en producción.

  • Colaborar con equipos de datos, producto e ingeniería para integrar modelos en productos reales.

  • Analizar grandes volúmenes de datos para resolver problemas complejos mediante modelos predictivos.

  • Optimizar modelos y sistemas existentes para mejorar eficiencia y rendimiento.

  • Implementar soluciones en la nube (AWS, GCP o Azure), maximizando su escalabilidad y costo-beneficio.

  • Documentar y presentar los desarrollos técnicos de manera clara y efectiva.

  • Impulsar mejoras continuas en prácticas de desarrollo y adopción de nuevas tecnologías.

Requisitos

  • Fuertes habilidades de programación en Python y/o Scala .

  • Conocimiento práctico en frameworks de ML como TensorFlow , PyTorch , scikit-learn , pandas .

  • Experiencia con servicios cloud (AWS, GCP o Azure) y sus herramientas de ML.

  • Capacidad comprobada para diseñar, entrenar, validar y poner en producción modelos de aprendizaje automático.

  • Conocimientos sólidos en estructuras de datos, modelado de datos y arquitectura de software.

  • Grado en Ciencias de la Computación, Ingeniería de Software o experiencia equivalente.

  • Excelentes habilidades de comunicación escrita y verbal.

  • Enfoque colaborativo y capacidad para resolver problemas complejos con curiosidad científica.

  • Deseables: Experiencia en Deep Learning , visión por computador o NLP.

  • Familiaridad con MLOps , Kubernetes , Docker , OpenCV , pyspark .

  • Experiencia previa con LLMs como ChatGPT, Claude, Gemini.

  • Habilidades en visualización de datos y storytelling técnico.

  • Experiencia con AWS Sagemaker u otras plataformas de entrenamiento de modelos en la nube.

Beneficios

  • Trabajo 100% remoto con horario alineado a CST.

  • PTO ilimitado : Confiamos en que gestionarás tu tiempo de manera efectiva.

  • Presupuesto anual para desarrollo : Acceso a cursos, certificaciones y conferencias.

Required Skill Profession

Tecnología Eléctrica Y Energética


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in WorkFromHome, Mexico, highlighting market share and opportunities for professionals in Machine Learning roles.

420 Jobs in Mexico
420
124 Jobs in Workfromhome
124
Download Machine Learning Jobs Trends in Workfromhome and Mexico

Are You Looking for Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Creai adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Mexico laws and regulations

What Is the Average Salary Range for Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Machine Learning Engineer?

Key qualifications for Machine Learning Engineer typically include Tecnología Eléctrica Y Energética and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Machine Learning Engineer?

To improve your chances of getting hired for Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Machine Learning Engineer Job Success

Creai interview tips for Machine Learning Engineer

Here are some tips to help you prepare for and ace your Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Creai's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Engineer interview at Creai, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Creai's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Machine Learning Engineer Positions

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