20 publicaciones de empleo destacadas de machine learning en loreto, dif (¡Están contratando!)

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Senior Software Engineer (Frontend) - Scribd Core
Scribd, Inc. —Ciudad de México, CDMX
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Sr Data Engineer - Music DISCO, Music DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
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Zendesk —Ciudad de México, CDMX
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Serve Robotics —Ciudad de México, CDMX
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Data Engineering Engineer

Takeda Pharmaceutical -
Cuajimalpa, CDMX

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Información del empleo

Tiempo completo

Beneficios

Seguro dental
Seguro de la vista

Cualificaciones

Modelado de datos
Oracle
Informática
Bases de datos relacionales
ERP systems
Sistemas de gestión de información de laboratorio
Inglés
MongoDB
Experiencia en bases de datos
SQL
Licenciatura
Desarrollo de software
S3
Experiencia en manufactura

Descripción completa del empleo

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

The Future Begins Here

At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-driven capabilities, we are improving the lives of millions of patients around the world.

Mexico City has been selected to be home to Takeda’s recently launched Innovation Capability Center thanks to its international recognition in qualified and experienced talent in the data, digital and technology fields. We invite you to join our digital transformation journey.

In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.

At Takeda’s ICC we Unite in Diversity

Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators’ journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.

About the role:

As a Data Engineer, you will be a key player in transforming the way various teams work with data across all production sites of the Global Manufacturing and Supply Organization (GMS).

With this you will help to improve our product quality and reduce loss while increasing efficiency, which has a direct impact on our ability to serve our patients with vital products.

How you will contribute:

Contribute to the data engineering of existing and new IT Systems to design, to analyze and implement complex manufacturing data driven solutions, with an impact on the daily operation of our manufacturing processes and facilities.
Enable data analytics (process trending, process modelling, real-time analytics, and predictive analytics) in a GxP environment from an IT perspective for all GMS sites
Develop and maintain scalable data pipelines using AWS native technologies and Databricks to support increasing data sources, volumes, and complexity.
Drive identification of technical issues, problem-solving and escalating issues appropriately.
Ensure Digital Products and Platforms are built efficiently, scalable and on state-of-the-art technology.
Provides guidance to business partners and solves complex technical changes and implementations.
Follow company and departmental policies, procedures and ensure documentation according to the Takeda Quality Management Systems (QMS), Software Development Life Cycle and Project Life Cycle standards.
Collaborate with analytics and business teams to improve data models that enhance business intelligence tools and dashboards, fostering data-driven decision-making across the organization.

What you bring to Takeda:

Bachelor’s Degree in Computer Science or in a Technical/Natural Science (with focus on IT) or equivalent,
In-Depth knowledge of SQL and Relational Databases,
Strong expertise in data modeling, and modern database technologies (Databricks, Oracle, MongoDB),
Basic understanding of batch-based manufacturing processes,
Understanding of Shop-Floor systems (MES, ERP, LIMS, Historian, etc.),
Understanding of Agile/SCRUM methodologies,
Understanding of good engineering practices (DevSecOps, source-code versioning),
Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams,
Fluency in English.

Nice to Have

3+ years of experience in data engineering, or a related field,
Experience with one more of the following analytics applications (Biovia Discoverant, Simca Online, PAS-X Savvy, Siemens gPROMS,
Experience with working in a highly regulated industry (e.g. pharmaceutical - or chemical industry)
Experience with AWS (S3, EC2, Terraform),
Experience in Computer Systems Validation GAMP,
Understanding of Data Science workflows, including Machine Learning and / or Deep Learning.

What Takeda’s ICC Can Offer You

At Takeda, you take the lead on building and shaping your own career.

Joining the ICC in Mexico City will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:

Competitive Salary + Performance Annual Bonus
Monthly Supermarket and Food Vouchers
Flexible Working Schemes
Comprehensive Healthcare Insurance Plans: Life, Medical, Dental & Vision
Additional Time Off
Diversity, Equity, and Inclusion Programs

Work Location: Mexico City – Santa Fe.

Hybrid model with a minimum in-office requirement of at least 10 (ten) days per month.

If you have further inquiries on the ICC Mexico City or this role, follow us on LinkedIn, and look up for our upcoming online events where we will elaborate on open roles and host Q&A sessions.

Locations

MEX - Santa Fe

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

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machine learning empleos en loreto, dif

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