AWS Machine Learning Engineer

Overview Netrix Global is looking for an AWS Machine Learning Engineer for the Professional Services – Data Intelligence department. The Machine Learning Engineer act as critical members 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, an AWS 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 remote base, in a collaborative environment. We have a strong team with opportunities to expand their skillsets and gain further knowledge across multiple parts of the organization. Responsibilities 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) Qualifications 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 it's 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 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 To learn more about Netrix Global please go to Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr