Machine Learning Engineer

Netrix Global; Buenos Aires; Teletrabalho; USD 60.000 - 100.000; Tempo integral

Resumo da oferta

An innovative firm is seeking a Machine Learning Engineer to join their dynamic data science team. In this pivotal role, you will design, build, and optimize data workflows for cutting-edge Machine Learning and Generative AI solutions in cloud environments. Your expertise in Python and AWS will help enhance existing AI systems and ensure seamless integration within cloud architectures. This role offers the opportunity to work remotely in a collaborative environment, providing a platform to expand your skillset while making a significant impact on advanced AI projects. If you are passionate about technology and eager to contribute to a mission-driven organization, this is the perfect opportunity for you.

Serviços

Swiss Medical: SMG-30 (family members included)

AWS certifications

99% discount in Mercado Pago payments

Internet and connectivity

Competitive salary and benefits

English in company

Ability to work remotely

Awesome learning environment

Qualificações

• Proven experience in Machine Learning and Data Science roles.
• Strong skills in data pipelines and model development.

Responsabilidades

• Design and optimize data workflows for Machine Learning solutions.
• Develop and deploy Machine Learning models using AWS SageMaker.

Conhecimentos

Machine Learning

Data Pipelines

Python

AWS

Generative AI

Agile Methodology

DevOps

Data Security

Formação académica

Bachelor's Degree in Computer Science or related field

Ferramentas

AWS SageMaker

TensorFlow

PyTorch

Terraform

CloudFormation

Git

Descrição da oferta de emprego

About The Opportunity

Netrix Global is looking for a Machine Learning Engineer for the Professional Services – Data Intelligence department. The Machine Learning Engineer acts as a critical member of the data science 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 Machine Learning Engineer will also serve as a critical communicator between other data science team members, working directly with the data scientists who develop the models for building AI systems and the people who construct and run them.

About The Team

• Our team works remotely, in a collaborative environment.
• We have a strong team with opportunities to expand skillsets and gain further knowledge across multiple parts of the organization.

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 is 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.
• 99% discount in Mercado Pago payments.
• Internet and connectivity.
• Competitive salary and benefits.
• 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 we 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.

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.

To learn more about Netrix Global please go to www.netrixglobal.com.