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Bolsa de trabajo Inteligencia artificial (Tecnologías de la Información Sistemas) indeterminado - OCC

7 resultados

Ordenar por: Relevancia

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ML Ops Engineer

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About the company Tata Consultancy Services (TCS) is an Indian multinational information technology (IT) services and consulting company with its headquarters in Mumbai. It is a part of the Tata ...

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Ingeniero de Inteligencia Artificial

$50,000 - $60,000 Mensual

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  • 1

Hace 4 días

ML Ops Engineer

Si el reclutador te contacta podrás conocer el sueldo

Tata Consultancy Services en
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Sobre el empleo

Categoría: Tecnologías de la Información - Sistemas
Subcategoría: Inteligencia artificial
Educación mínima requerida: Universitario titulado

Detalles

Contratación:

Permanente

Horario:

Tiempo completo

Espacio de trabajo:

Híbrido

Beneficios

  • Prestaciones superiores a las de la ley
  • Plan de crecimiento personal y laboral
  • Seguro de vida

Descripción

About the company


Tata Consultancy Services (TCS) is an Indian multinational information technology (IT) services and consulting company with its headquarters in Mumbai. It is a part of the Tata Group and operates in 150 locations across 46 countries. In July 2022, it was reported that TCS had over 600,000 employees worldwide. TCS is the second largest Indian company by market capitalization and is among the most valuable IT service brands worldwide. In 2015, TCS was ranked 64th overall in the Forbes "World's Most Innovative Companies" ranking, making it one of the highest-ranked IT services companies and a top Indian company.[13] As of 2018, it is ranked eleventh on the Fortune India 500 list.[14] In September 2021, TCS recorded a market capitalization of US$200 billion, making it the first Indian IT tech company to do so .


Job Description

• Create the machine learning solutions development and technical implementation including configuration and integration to ensure it meets business, product, and recommender system expectations • Build scalable machine learning solutions that are reliable, resilient, and secure • Develop and maintain technical deliverables including design and representative models • Contribute toward machine learning best practices, technical standards, model designs, and quality management including source code reviews • Provide technical oversight, implementation guidance, remediation, and resolution of technical issues • Collaborate with stakeholders, cross functional and product teams, Business segments, technical experts, and Architects to understand scope, requirements, solution, data, and services • Work in a team-oriented environment, share information, and value diverse ideas • Foster a culture of continuous improvement, learning, innovation and deployment


?About the Role:

As a Senior Machine Learning Engineer, you will:

· Be part of the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives.

· Create machine learning solutions that are scalable, dependable, and secure.

· Craft and sustain technical outputs such as design documentation and representative models.

· Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews.

· Provide expert oversight, guidance on implementation, and solutions for technical challenges.

· Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services.

· Promote a team-focused culture that values information sharing and diverse viewpoints.

· Cultivate an environment of continual enhancement, learning, innovation, and deployment.


About You:

You are an excellent candidate for the role of Senior Machine Learning Engineer if you possess:

· At least 3 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.

· A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices.

· A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred), including services, networking, and security principles.

· Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products.

· Proficient Python programming skills, SQL, and data modeling expertise, with DBT considered a plus.


This require a good level of English enough to communicate as many co-workers and employees are from overseas and do not speak Spanish.


This is a full-time hybrid position at TCS (Tata Consultancy Services) and there are many benefits that includes but are not limited to:


* Legal Benefits: IMSS, AFORE, INFONAVIT, 30-day Bonus, 25% Vacation Bonus, Profit Sharing in accordance with the law.

* Major Medical Expenses Insurance for you, your spouse and up to two minor children.

* Life Insurance with an insured amount of $1,000,000.00 MXN (One Million pesos 00/100 MN).

* 12 days of Vacation from your first year, which will be increased when, due to your seniority, a greater number corresponds to you in accordance with the law.

* 30 days of Bonus

* 590 pesos in food vouchers


To continue the process please share with me your resume in English and let me know your salary expectations.


Thanks in advance!



Recuerda que ningún reclutador puede pedirte dinero a cambio de una entrevista o un puesto. Asimismo, evita realizar pagos o compartir información financiera con las empresas.

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