9 Ofertas de Cloud Solutions en Chile

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Direct message the job poster from Beijing Foreign Enterprise Management Consultants Co.,Ltd.

HR Specialist & Talent Acquisition | HR Generalist | HRBP |

On behalf of ICT company Huawei Technologies, we are looking for Cloud Solutions Architect.

Responsibilities:

• Conduct presentations and training sessions on cloud services to empower our clients.
• Develop customized technical proposals and quotations based on the specific needs of each project.
• Participate in architectural discussions to ensure successful cloud deployments.
• Collaborate with the sales team to create and execute strategies that exceed revenue targets through cloud adoption.
• Develop and deliver accurate sales forecasts in line with business objectives, and manage and develop accounts.

Work Experience and Knowledge:

• More than 5 years of experience in cloud solution architecture (implementation/consulting); AWS, GCP, OCI, Huawei Cloud, Azure.
• Experience in infrastructure solution architecture on Linux/Unix and Windows platforms.
• Proven experience in deploying cloud/virtualization solutions for enterprise customers.
• Familiarity with products like Oracle, SQLServer, MySQL, and frameworks like ITIL, Zachman, and TOGAF.
• Experience in the cloud industry, software development, telecom and related sectors.
• Experience in migrating legacy systems to the cloud and knowledge of enterprise application architecture and databases.

NOTE: We will only consider CVs submitted in English.

Working Location: Santiago, Chile

We offer a competitive salary and excellent compensation benefits

Seniority level

• Seniority level Associate

Employment type

• Employment type Full-time

Job function

• Job function Information Technology, Sales, and Consulting
• Industries IT Services and IT Consulting and Telecommunications

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Join to apply for the Cloud Professional Services Manager role at Canonical

13 hours ago Be among the first 25 applicants

Join to apply for the Cloud Professional Services Manager role at Canonical

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This is an opportunity to run a Professional Services team (also known as Field Engineering) team, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data centers. We work across the entire spectrum of cloud offerings, from Ubuntu itself to virtualisation and private cloud, Kubernetes, and the implementation of sophisticated open source solutions such as MLops platforms, data platforms and more. We are rapidly expanding the range of open source solutions we offer and deliver to customers, as we move into new industries like telco, finance, health care and media we design and develop new open source solutions to meet their needs.

We believe that Engineering Managers should be outstanding engineers themselves. They should feel completely at home troubleshooting technical issues and having technical presales conversations with customers. They should contribute to project delivery themselves, but know that the technical contributions they bring are far less significant than their ability to shape the whole team's direction, focus and delivery. We grow management skills and train engineers, who are interested in soft skills, to be managers.

We believe that open source is just starting to transform the tech sector and enterprise compute. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of 'most software to most companies'. To deliver on that ambition, our engineers are carefully selected from the applicants across the globe. We select for brilliance and motivation to take open source to the next level. Our engineering managers help teams achieve more than they realised they could, and feel proud of the result.

The role of a Cloud Professional Services Manager at Canonical

The Field Engineering team is our team of cloud solutions architects at Canonical, working directly with our customers, designing private and public cloud solutions fitting their workload needs. The portfolio of products includes on-premise cloud solutions such as Openstack, MicroCloud and Ceph, and solutions that could be deployed either on-premises or in public clouds such as Kubernetes, Kubeflow, Spark, PostgreSQL, etc. The team works hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. Managers and team members also take part in presales conversations to provide technical advice during the sales process.

A Cloud Professional Services Manager is responsible for line management and career guidance. The ability to develop engineering talent, to represent your team from a technical perspective, and to drive collaboration with other teams and customers are all critical to success in this role. You are also expected to actively participate in technical presales to help our department achieve our quarterly goals.

Location: This role will be home based, managing a team in your time zone.

What your day will look like

• Lead and develop a team of engineers, ranging from graduate to senior
• Work remotely in a single major time zone
• Coach, mentor, and offer career development feedback
• Identify and measure team health indicators
• Implement disciplined engineering processes
• Represent your team and product to stakeholders, partners, and customers
• Develop and evangelise great engineering and organisational practices
• Plan and manage progress on agreed goals and projects
• Be an active part of the leadership team, collaborating with other leaders
  
  

What we are looking for in you

• Knowledge of cloud computing concepts & technologies, such as Kubernetes, Openstack, AWS, GCP, Azure, Ceph, etc.
• Practical knowledge of Linux and networking
• Experience in technical presales
• You are a dynamic person who loves to jump in new projects and interact with people
• Excellent verbal and written communication skills in English
• Passion and a track record of developing and growing people
• Experience in leading, coaching and mentoring engineers
• Organised and able to ensure your team delivers timely, high quality results
• An exceptional academic track record from high school and, preferably, university as well
• Willingness to travel up to 40% of the time. Field Engineers attend internal company events, external tech events and customer meetings.
  
  

Additional skills that you might also bring

• Second language - Spanish or French preferred
• Python knowledge
• Experience collaborating with external partners
• Experience collaborating with several internal teams and providing stakeholder feedback for engineering roadmaps
  
  

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues from your team and others
• Priority Pass for travel and travel upgrades for long haul company events
  
  

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Project Management and Information Technology
• Industries Software Development

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Santiago, Santiago Metropolitan Region, Chile $800.00-$,300.00 1 month ago

Senior Customer Success Manager (Podcasts)

Santiago, Santiago Metropolitan Region, Chile 2,700.00- 4,000.00 1 month ago

Customer Success Manager (Podcast Company)

Santiago, Santiago Metropolitan Region, Chile 1 month ago

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**Please submit your resume in English - we can only consider applications submitted in this language.**
For Mexico applicants: Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
**Minimum qualifications:**
+ Bachelor's degree in Computer Science or equivalent practical experience.
+ 6 years of experience building machine learning solutions and working with technical customers.
+ Experience designing cloud enterprise solutions and supporting customer projects to completion.
+ Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
+ Experience building and deploying custom ML models into production, including experience with deep learning frameworks and with designing and deploying agentic AI workflows for business process automation.
+ Ability to communicate in English fluently as this is a customer-facing role.
**Preferred qualifications:**
+ Experience working with recommendation engines, data pipelines, or distributed machine learning.
+ Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).
+ Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
+ Understanding of the auxiliary practical concerns in production machine learning systems.
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
In this role, you will work with key Google Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities:**
+ Be a trusted technical advisor to customers and solve complex machine learning challenges.
+ Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.
+ Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
+ Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
+ Travel up to 30% in-region for meetings, technical reviews, and onsite delivery activities.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Delivery Consultant - Cloud Infrastructure, Professional Services

The AWS Professional Services (ProServe) organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant - Cloud Infrastructure to join our team at Amazon Web Services (AWS). This is a hands-on role, and you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant - Cloud Infrastructure you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

This is a customer facing role. You could be required to travel to client locations and deliver professional services as needed.

Key job responsibilities

As an experienced technology professional, you will be responsible for:

1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

BASIC QUALIFICATIONS

- 5+ years of experience in cloud architecture and IT implementation, with AWS expertise preferred.
- Demonstrated expertise in cloud services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Proficiency in programming/scripting languages and modern development methodologies.
- Track record of leading enterprise-scale software delivery, architecture design, and migration planning.
- Able to communicate effectively in English within technical and business settings.
- Bachelor's degree in Computer Science, Engineering, or related field or equivalent combination of education and practical experience.

PREFERRED QUALIFICATIONS

- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience with automation and scripting (e.g., Terraform, Python)
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Description
The AWS Professional Services (ProServe) organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant - Cloud Infrastructure to join our team at Amazon Web Services (AWS). This is a hands-on role, and you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant - Cloud Infrastructure you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
This is a customer facing role. You could be required to travel to client locations and deliver professional services as needed.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
A day in the life
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS: AWS is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our products and services to power their businesses.
Inclusive Team Culture: Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to embrace our uniqueness.
Mentorship & Career Growth: We raise our performance bar as we strive to become Earth's Best Employer. You'll find knowledge-sharing, mentorship and career-advancing resources here to help you develop as a professional.
Work/Life Balance: We value work-life harmony. Success at work should not require sacrifices at home, which is why we strive for flexibility in our working culture. When we feel supported in the workplace and at home, we deliver our best work.
Basic Qualifications
- 5+ years of experience in cloud architecture and IT implementation, with AWS expertise preferred.
- Demonstrated expertise in cloud services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Proficiency in programming/scripting languages and modern development methodologies.
- Track record of leading enterprise-scale software delivery, architecture design, and migration planning.
- Able to communicate effectively in English within technical and business settings
- Bachelor's degree in Computer Science, Engineering, or related field or equivalent combination of education and practical experience
Preferred Qualifications
- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience with automation and scripting (e.g., Terraform, Python)
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Delivery Consultant - Cloud Infrastructure, Professional Services

The AWS Professional Services (ProServe) organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant - Cloud Infrastructure to join our team at Amazon Web Services (AWS). This is a hands-on role, and you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant - Cloud Infrastructure you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

This is a customer facing role. You could be required to travel to client locations and deliver professional services as needed.

Key job responsibilities

As an experienced technology professional, you will be responsible for:

1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

BASIC QUALIFICATIONS

- 5+ years of experience in cloud architecture and IT implementation, with AWS expertise preferred.
- Demonstrated expertise in cloud services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Proficiency in programming/scripting languages and modern development methodologies.
- Track record of leading enterprise-scale software delivery, architecture design, and migration planning.
- Able to communicate effectively in English within technical and business settings.
- Bachelor's degree in Computer Science, Engineering, or related field or equivalent combination of education and practical experience.

PREFERRED QUALIFICATIONS

- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience with automation and scripting (e.g., Terraform, Python)
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#J-18808-Ljbffr

Cloud AI Consultant, Professional Services (English) Join or sign in to find your next job

Join to apply for the Cloud AI Consultant, Professional Services (English) role at Google

Cloud AI Consultant, Professional Services (English)

2 days ago Be among the first 25 applicants

Join to apply for the Cloud AI Consultant, Professional Services (English) role at Google

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Please submit your resume in English - we can only consider applications submitted in this language.

For Only Mexico City Applicants: Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: São Paulo, State of São Paulo, Brazil; Buenos Aires, Argentina; Santiago, Chile; Bogotá, Bogota, Colombia; Mexico City, CDMX, Mexico .Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in project management and delivering technical solutions.
• Experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
• Experience with technical client service (e.g., consulting).
• Ability to communicate in English fluently, in order to interact with clients.
  
  

Preferred qualifications:

• Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).
• Experience designing and deploying with one or more of the following technologies: TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-learn.
• Experience in designing and deploying agentic AI workflows for business process automation.
• Experience implementing AI solutions in contact center environments.
• Experience in systems design with the ability to architect and explain data analytics pipelines and data flows.
• Excellent verbal and written communication, presentation and problem-solving skills.
  
  

About The Job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud AI Consultant, you will work directly with Google’s most strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help our customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners currently servicing top accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise. You possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies. To be successful, you know how to navigate ambiguity, you are a technical expert in your field, and you can deliver customer success. You have excellent client-facing communication and project management skills.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Cloud AI solutions, becoming a trusted advisor to decision makers throughout the engagement.
• Propose solution architectures and manage the deployment of cloud based machine learning solutions according to customer requirements and implementation best practices.
• Work with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
• Travel approximately 30% of the time for client engagements, as required.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Seniority level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Project Management, Consulting, and Engineering
• Industries Information Services and Technology, Information and Internet

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Providencia, Santiago Metropolitan Region, Chile 1 month ago

Data Scientist Senior - REMOTE WORK | REF#284113

Santiago, Santiago Metropolitan Region, Chile 1 month ago

Santiago Metropolitan Region, Chile 4 weeks ago

Providencia, Santiago Metropolitan Region, Chile 1 month ago

Santiago, Santiago Metropolitan Region, Chile 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Please submit your resume in English - we can only consider applications submitted in this language.
For Only Mexico City Applicants: Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience in project management and delivering technical solutions.
+ Experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
+ Experience with technical client service (e.g., consulting).
+ Ability to communicate in English fluently, in order to interact with clients.
**Preferred qualifications:**
+ Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).
+ Experience designing and deploying with one or more of the following technologies: TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-learn.
+ Experience in designing and deploying agentic AI workflows for business process automation.
+ Experience implementing AI solutions in contact center environments.
+ Experience in systems design with the ability to architect and explain data analytics pipelines and data flows.
+ Excellent verbal and written communication, presentation and problem-solving skills.
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Consultant, you will work directly with Google's most strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help our customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners currently servicing top accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise. You possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies. To be successful, you know how to navigate ambiguity, you are a technical expert in your field, and you can deliver customer success. You have excellent client-facing communication and project management skills.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities:**
+ Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Cloud AI solutions, becoming a trusted advisor to decision makers throughout the engagement.
+ Propose solution architectures and manage the deployment of cloud based machine learning solutions according to customer requirements and implementation best practices.
+ Work with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
+ Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
+ Travel approximately 30% of the time for client engagements, as required.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: