Cloud AI Engineer

Posted Yesterday
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Buenos Aires, Ciudad Autónoma de Buenos Aires, ARG
In-Office
Junior
Cloud • Hardware • Information Technology • Internet of Things • Security
We deliver true value IT solutions for organizations of all sizes to enhance client's competitive edge.
The Role
Designs, deploys, and optimizes machine learning and generative AI solutions in AWS cloud environments. Responsibilities include building data and model pipelines, preparing data, managing data lakes, integrating secure and governed AI architectures, testing and documenting workflows, and monitoring production models. The role requires Python, machine learning libraries, AWS SageMaker and data services, GenAI deployment experience, DevOps practices, infrastructure as code, and Agile collaboration.
Summary Generated by Built In
About The Opportunity  

This is a pipeline requisition for future opportunities. While we are not hiring immediately, we regularly seek top talent for this role and encourage you to express interest.

Cloud AI Engneer act as critical members of the Data Intelligence team. Their tasks involve researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.

Often, a AI & Machine Learning Engineer will also serve as a critical communicator between other Data Intelligence team members, working directly with the data scientists who develop the models for building AI systems and the people who construct and run them.

How You Will Make An Impact
  • Design, build, and optimize data workflows for Machine Learning and GenAI solutions in cloud environments.
  • Develop and deploy Machine Learning and Generative AI (GenAI) models using AWS SageMaker.
  • Create and manage data and model pipelines to improve the efficiency of AI and machine learning systems.
  • Prepare and structure data for advanced AI and GenAI solutions.
  • Ensure seamless integration of data and AI solutions within cloud architectures, including data security and governance aspects.
  • Document and rigorously test models and workflows to meet accuracy and performance requirements.
  • Monitor and enhance the performance of Machine Learning models and services in production.
  • Manage Data Lake architectures, tailoring data to the needs of Machine Learning and GenAI workloads. (Desired)
What You Will Bring To The Table
  • Proven experience as a Machine Learning Engineer or in Data Science roles, with strong skills in data pipelines and Machine Learning model development.
  • Experience working in cloud environments (AWS) for at least 2 years. 
  • Solid proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or similar.
  • Advanced English level. 
  • Experience using SageMaker and other AWS data services: S3, AWS Glue, Athena.
  • Experience with Generative AI models and deploying them in production. 
  • Proficiency in DevOps tools (Git, pipelines) and infrastructure as code (Terraform, CloudFormation).
  • Ability to work in Agile teams under Scrum methodology.

Location

  • Argentina (any part of the country its great for us!)
  • Shift: 9 a.m to 6 p.m from Monday to Friday

What We Offer

  • Swiss Medical: SMG-30 (family members included).
  • AWS certifications.
  • Microsoft certifications.
  • Happy Club: Pedidos Ya!
  • Internet and connectivity.
  • Competitive salary and benefits.
  • 5 Netrix Days off.
  • English in company.
  • Ability to work remotely.
  • An awesome learning environment for you to develop.
About Us     

At Netrix Global our values are the philosophies and principles that live by. They support our vision, help us achieve our goals and commit us to a common purpose.  

We Own Outcomes, Win Together, Make An Impact, Enjoy The Journey, and Respect All!       

Netrix Global is a mission-driven organization with the goal of providing the people, processes, and technology needed to run and scale modern, data-driven businesses that are always on and always secure. Our breadth of capabilities allows us to provide holistic offerings that solve even today’s most complex business challenges, delivering to you an integrated, optimized, and future-proof solution.      

We work with clients of all sizes and specialize in solutions for healthcare, manufacturing, government, education, financial services, and legal industries. Netrix is consistently ranked in the CRN VAR500, detailing the country’s top system integrators.    

 At Netrix, we’re driven to solve business problems with innovative technology solutions. We focus on end-users and are committed to client satisfaction.     

What You Can Expect From Us   

We offer a competitive compensation package, comprehensive group benefits to meet the needs of you and your family, flexibility, and time off when you need it, and a casual work environment.  The role can be remote/home office, with some travel required. 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, disability, veteran status, or any other protected characteristic. Our hiring, promotion and compensation processes are based on merit, skills, and qualifications, to ensure a fair and unbiased approach for our candidates and employees. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.

If you need a reasonable accommodation, please let us know by contacting NetrixHR@Netrixglobal. 

Skills Required

  • At least 2 years of experience working in AWS cloud environments
  • Experience as a Machine Learning Engineer or in a Data Science role
  • Strong experience with data pipelines and machine learning model development
  • Proficiency in Python and machine learning libraries such as TensorFlow or PyTorch
  • Advanced English proficiency
  • Experience with AWS SageMaker, Amazon S3, AWS Glue, and Amazon Athena
  • Experience developing and deploying Generative AI models in production
  • Proficiency with Git and DevOps pipelines
  • Experience with infrastructure as code using Terraform or AWS CloudFormation
  • Ability to work in Agile teams using Scrum methodology
  • Experience managing data lake architectures for machine learning and Generative AI workloads

Netrix, LLC Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Netrix, LLC and has not been reviewed or approved by Netrix, LLC.

  • Leave & Time Off Breadth PTO is described as generous or “unlimited,” with flexible time off and paid holidays. Parental leave includes at least one positive maternity leave account.
  • Wellbeing & Lifestyle Benefits Offerings such as an onsite gym, snacks, commuter benefits, remote-work options, and paid certifications/training are highlighted. These perks provide lifestyle support alongside development opportunities.
  • Fair & Transparent Compensation Certain roles and locations are characterized as offering competitive or good pay, including senior technical and some contract positions. Payroll is described as timely.

Netrix, LLC Insights

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The Company
HQ: Chicago, IL
750 Employees
Year Founded: 1989

What We Do

Our concentration is in the areas of application development, cyber security, unified communications, mobility, data center, network infrastructure, software development, system services, cloud center solutions, audio & visual, managed services, and 24×7 support. Netrix is a Microsoft Gold Partner, Juniper Elite Partner, Cisco Gold Partner, and Citrix Gold Partner,

Why Work With Us

At Netrix, we’re driven to solve business problems with innovative technology solutions. We focus on end-users and are committed to client satisfaction.

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