AI & Machine Learning Engineer – AWS Cloud

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Netrix Global

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1990

💼 Consulting

📣 Marketing

Consulting • Marketing • IT Service Management

Netrix Global is an IT consultant and managed service provider dedicated to solving business challenges through technology. With a team of over 600 technical engineers, solution architects, and IT professionals, Netrix Global specializes in IT strategy, application development, cloud infrastructure, data and AI, modern work solutions, and comprehensive cybersecurity services. The company acts as an extension of their clients' teams, offering services that include IT strategy design, implementation, and ongoing management. Known for their enterprise-level consultancy capabilities combined with the agility of a local provider, Netrix Global delivers tailored IT solutions to modernize and secure business operations, enhancing productivity and innovation across various industries.

📋 Description

• Design, build, and optimize data workflows for Machine Learning and Generative AI solutions in cloud environments • Develop and deploy Machine Learning and Generative AI models using AWS SageMaker • Create and manage data and model pipelines to improve AI and machine learning system efficiency • Prepare and structure data for advanced AI and Generative AI solutions • Integrate data and AI solutions within cloud architectures • Address data security and governance aspects • Document and rigorously test models and workflows for accuracy and performance • Monitor and enhance the performance of Machine Learning models and services in production • Manage Data Lake architectures for Machine Learning and Generative AI workloads • Communicate between Data Intelligence team members, data scientists, and implementation and operations personnel

🎯 Requirements

• Proven experience as a Machine Learning Engineer or in Data Science roles • Strong skills in data pipelines and Machine Learning model development • At least 2 years of experience working in AWS cloud environments • Solid proficiency in Python • Proficiency with machine learning libraries such as TensorFlow, PyTorch, or similar • Advanced English level • Experience using Amazon SageMaker and AWS data services including S3, AWS Glue, and Athena • Experience with Generative AI models and deploying them in production • Proficiency in DevOps tools, including Git and pipelines • Experience with infrastructure as code using Terraform or CloudFormation • Ability to work in Agile teams under Scrum methodology

🏖️ Benefits

• Swiss Medical SMG-30 health insurance, including family members • AWS certifications • Microsoft certifications • Pedidos Ya! internet and connectivity • Competitive salary and benefits • One additional week of vacation • English lessons/classes in company • Ability to work remotely • Learning and development environment • Comprehensive group benefits for employees and families • Flexible work arrangements • Time off when needed • Casual work environment