Machine Learning Engineer
The Machine Learning Engineer plays a critical role in the Professional Services – Data Intelligence department, serving as a key member of the data science team.
Key responsibilities include researching, designing, and building artificial intelligence responsible for machine learning, maintaining and improving existing AI systems, and acting as a liaison between data scientists and those who construct and run AI systems.
About The Team
* The team works remotely in a collaborative environment.
* Opportunities exist to expand skill sets and gain knowledge across multiple parts of the organization.
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 models using AWS SageMaker.
* Create and manage data and model pipelines to improve AI system efficiency.
* Prepare and structure data for advanced AI solutions.
* Ensure seamless integration of data and AI within cloud architectures, including 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 ML and GenAI workloads.
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 ML 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.
What We Offer
* Swiss Medical coverage.
* AWS certifications.
* Internet and connectivity.
* Competitive salary and benefits.
* Ability to work remotely.
* Opportunity to develop in an awesome learning environment.
About Us
At Netrix Global, we value philosophies that support our vision, help us achieve goals, and commit us to a common purpose: Own Outcomes, Win Together, Make An Impact, Enjoy The Journey, and Respect All.
We are a mission-driven organization providing people, processes, and technology to run and scale modern businesses. Our capabilities offer holistic solutions to complex challenges, delivering integrated, optimized, and future-proof solutions.
What You Can Expect From Us
We offer competitive compensation, comprehensive group benefits, flexibility, time off when needed, and a casual work environment.
The role is remote/home office with some travel required.
We ensure fair hiring, promotion, and compensation processes based on merit, skills, and qualifications.