Join Netrix Global as an AWS Machine Learning Engineer to design and deploy scalable ML solutions on cloud infrastructure. Leverage your expertise in AWS services to drive innovative AI projects for global clients.

Netrix Global is seeking a talented AWS Machine Learning Engineer to join our innovative team. In this role, you will architect, build, and optimize machine learning models using AWS cloud services to solve complex business challenges for our international clients. You will collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production environments, ensuring scalability, reliability, and performance.

Key responsibilities include developing end-to-end ML pipelines, from data ingestion and preprocessing to model training, deployment, and monitoring. You will leverage AWS tools like SageMaker for model building, experiment tracking, and automated deployments, while incorporating best practices for security and cost optimization. Additionally, you will contribute to proof-of-concept projects, conduct code reviews, and stay abreast of emerging trends in AI and cloud computing to enhance our service offerings.

This remote position offers the flexibility to work from anywhere in Argentina, with opportunities to engage in a dynamic, multicultural environment at Netrix Global. If you are passionate about machine learning and cloud technologies, apply now to make a significant impact on our cutting-edge projects.

• Bachelor's degree in Computer Science, Data Science, or related field; Master's preferred
• 3+ years of experience with AWS machine learning services such as SageMaker, Rekognition, and Comprehend
• Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks
• Strong knowledge of data pipelines, ETL processes, and cloud architecture (e.g., EC2, S3, Lambda)
• Experience with version control (Git) and CI/CD practices
• Excellent problem-solving skills and ability to work remotely in a collaborative team environment
• Familiarity with agile methodologies and DevOps tools

• Competitive monthly salary with performance bonuses
• Fully remote work setup with flexible hours
• Comprehensive health and wellness benefits, including medical, dental, and vision coverage
• Professional development opportunities, including AWS certifications reimbursement
• Generous paid time off and remote work stipend for home office setup
• Access to cutting-edge tools and technologies in a supportive global team