Azure Machine Learning Engineer

January 15

Apply Now

Receive Emails with Similar Jobs

Netrix Global

WebsiteLinkedInAll Job Openings

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.

IT Strategy • Data & AI • Cloud Infrastructure • IT Service Management • Application Development

501 - 1000 employees

Founded 1990

🔒 Cybersecurity

🤖 Artificial Intelligence

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.