Description review
AI & Machine Learning Engineer (AWS Cloud)
Netrix Global · Argentina · back to the listing
HR standards
52/100
needs work
Title ↔ description
76/100
solid
Reads as
Machine Learning Engineer
100% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
Large employers
- Applied AI Engineer Automattic
- Machine Learning Engineer, CX Intelligence Coinbase
- AI Engineer - FDE (Forward Deployed Engineer) Databricks
- AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector Databricks
- Senior AI Engineer – Notebooks Datadog
Startups
- Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
- Member of Technical Staff (applied) Anthrogen
- Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
- Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
- Staff AI Engineer - Agent Architecture & Behavior Artisan
What the listing never says
- 28 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
About The Opportunity
AI & Machine Learning Engineer (AWS Cloud) 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.
• Pedidos Ya!
• Internet and connectivity.
• Competitive salary and benefits.
• One more week of vacation
• 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.
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, disability, or veteran status. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need reasonable accommodations, please let us know by contacting NetrixHR@Netrixglobal.
To learn more about Netrix Global please go to
Originally posted on Himalayas
AI & Machine Learning Engineer (AWS Cloud) 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.
• Pedidos Ya!
• Internet and connectivity.
• Competitive salary and benefits.
• One more week of vacation
• 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.
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, disability, or veteran status. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need reasonable accommodations, please let us know by contacting NetrixHR@Netrixglobal.
To learn more about Netrix Global please go to
Originally posted on Himalayas