03 nov
|
Zebra Technologies
|
Santiago de Querétaro
03 nov
Zebra Technologies
Santiago de Querétaro
Queretaro, Mexico
Full time
JR
**Overview:**
At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges.
Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.
You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally.
Come make an impact every day at Zebra.
**What We're Looking For:**
Operates and monitors machinery and equipment used in manufacturing or production processes. This role requires individuals to follow safety protocols, ensure quality standards are met, and maintain efficiency in operations.
**Essential Duties and Responsibilities:**
- Perform packing, assembly, and operate machinery as per instructions
- Follow work orders, labeling requirements, and productivity standards
- Conduct quality tests according to ISO procedures
- Adhere to safety protocols and use personal protective equipment (PPE)
- Communicate basic job-related information and collaborate within the team / department
- Build productive relationships and contribute to team success
- Learn and follow company policies, procedures, and processes under direct supervision
- Train team members when directed by supervisors
- Uphold and follow company values and standards
**Key Skills and Competencies:**
- Basic computer skills
- Must be at least 18 years old
- Strong teamwork and collaboration skills with the ability to maintain productive working relationships in a team-oriented environment
- Open to receiving guidance, feedback, and constructive instructions from supervisors to ensure adherence to processes and standards
- Capable of safely operating and handling light to medium machinery with a focus on precision and adherence to safety protocols
**Minimum Education or Equivalent** :
- No diploma required. Basic math and reading / writing skills are needed
**Minimum Work Experience:**
- No prior experience required. Training will be provided
**Work Environment:** 5 days in office
**Safety Sensitive Role:** Yes
**Travel:** None
**Personal Protective Equipment (PPE):** Safety glasses, steel-toed boots, ear plugs, gloves, etc.
**Must be able to see color:** Yes
**Physical Demands:**
- Sedentary work that primarily involves sitting or standing
- Light work that includes moving objects up to 20 pounds
- Medium work that includes moving objects up to 50 pounds
**Physical Activity:**
- Ascending or descending ladders, stairs, scaffolding, ramps, poles and the like : Occasionally
- Working from heights such as roofs, ladders, or powered lifts: Occasionally
- Moving self in different positions to accomplish tasks in various environments including awkward or tight and confined spaces: Never
- Remaining in a stationary position, often standing, or sitting for prolonged periods of time: Frequently
- Stooping, kneeling, bending, crouching, reaching, pushing, or pulling: Frequently
- Moving about to accomplish tasks or moving from one worksite to another: Occasionally
- Adjusting or moving objects up to 40 pounds in all directions: Occasionally
- Communicating with others to exchange information: Constantly
- Repeating motions that may include the wrists, hands, or fingers: Constantly
- Operating machinery or power tools: Occasionally
- Operating motor vehicles, industrial vehicles, or heavy equipment: Occasionally
- Assessing the accuracy, neatness and thoroughness of the work assigned: Occasionally
**Environmental Conditions:**
- Exposure to extreme temperatures (high or low): Never
- Outdoor elements such as precipitation and wind: Never
- Noisy environments: Frequently
- Other hazardous conditions such as vibrations, uneven ground surfaces or dust and fumes: Never
- Small or enclosed spaces: Never
- No adverse environmental conditions expected: Never
**Benefits:**
We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.
About the Role
Our client, WhatJobs Direct, está reclutando de forma remota a estudiantes altamente motivados y con sólidas bases analíticas para nuestra posición de Prácticas Remotas en Ciencia de Datos y Machine Learning . Esta es una oportunidad única para aplicar teorías de estadística, matemáticas y computación en la resolución de problemas del mundo real utilizando grandes volúmenes de datos. Trabajarás en el desarrollo de modelos predictivos, algoritmos de machine learning y visualizaciones impactantes bajo la supervisión de científicos de datos experimentados.
Buscamos individuos curiosos, con una mente inquisitiva y la capacidad de traducir hallazgos complejos en insights accionables. Si te apasiona extraer conocimiento de los datos y construir sistemas inteligentes, esta práctica remota es tu puerta de entrada al mundo de la ciencia de datos. Te ofrecemos un ambiente colaborativo y los recursos necesarios para que prosperes.
Key Responsibilities
- Asistir en la recopilación, limpieza y transformación de grandes conjuntos de datos.
- Colaborar en el desarrollo, entrenamiento y validación de modelos de Machine Learning.
- Realizar análisis exploratorio de datos (EDA) para identificar patrones y tendencias.
- Desarrollar visualizaciones de datos efectivas para comunicar resultados.
- Participar en la implementación de modelos en entornos de producción (con supervisión).
- Investigar y aplicar nuevas técnicas y algoritmos de ciencia de datos y ML.
- Colaborar con equipos de producto e ingeniería para entender las necesidades de datos.
- Documentar código, procesos y hallazgos de manera clara y concisa.
- Mantenerse al día con la investigación y avances en el campo del Machine Learning.
Requirements
- Cursando estudios universitarios avanzados (Maestría o Doctorado preferiblemente) o últimos años de Licenciatura en Estadística, Matemáticas, Informática, Física, Ingeniería o un campo cuantitativo relacionado.
- Sólidos conocimientos de programación en Python, incluyendo librerías como Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
- Comprensión de los fundamentos teóricos del Machine Learning (supervisado, no supervisado).
- Familiaridad con bases de datos SQL y/o NoSQL.
- Experiencia con herramientas de visualización de datos (Matplotlib, Seaborn, Tableau, Power BI).
- Capacidad de pensamiento analítico y resolución de problemas complejos.
- Excelentes habilidades de comunicación escrita y verbal para explicar conceptos técnicos.
- Proactividad, curiosidad intelectual y capacidad para trabajar de forma autónoma en un entorno remoto.
- Residencia en Morelia, Michoacán , con disponibilidad para trabajar remotamente.
Benefits
Esta práctica remota te posiciona a la vanguardia de la ciencia de datos y el machine learning. Ofrecemos una atractiva remuneración económica mensual. Tendrás la oportunidad de trabajar en proyectos de vanguardia y aplicar algoritmos de última generación. Recibirás mentoría experta de profesionales líderes en el campo, quienes te guiarán en tu crecimiento. La flexibilidad del trabajo remoto te permitirá organizar tu tiempo eficazmente. Podrás construir una sólida red de contactos profesionales en un entorno global. Existe una resistente posibilidad de una oferta de empleo a tiempo completo
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📌 Machine Operator I - Hybrid, Flexible Hours & Training (Santiago de Querétaro)
🏢 Zebra Technologies
📍 Santiago de Querétaro