Join Netrix Global as an AWS Machine Learning Engineer to design and deploy scalable ML solutions on the cloud. Leverage your expertise in AWS services to drive innovation and optimize data-driven decision-making for our global clients.

Netrix Global is seeking a talented AWS Machine Learning Engineer to join our innovative team. In this role, you will be responsible for developing and implementing machine learning models using AWS cloud services to solve complex business challenges. You will collaborate with cross-functional teams to integrate ML solutions into production environments, ensuring scalability, reliability, and performance.

Key responsibilities include architecting ML pipelines on AWS, optimizing models for cost-efficiency, and leveraging services like Amazon SageMaker for end-to-end ML workflows. You will also conduct data analysis, feature engineering, and model evaluation to deliver actionable insights. Our remote-first culture supports work-life balance while contributing to cutting-edge projects in a dynamic, international setting.

If you are passionate about AI and cloud technologies, this is an exciting opportunity to advance your career with a forward-thinking company.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 3+ years of experience in machine learning engineering, with a focus on AWS services such as SageMaker, Lambda, and EC2
• Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks
• Strong knowledge of data pipelines, ETL processes, and cloud architecture
• Experience with version control (Git) and agile methodologies
• Excellent problem-solving skills and ability to work in a collaborative remote environment

• Competitive monthly salary and performance-based bonuses
• Fully remote work with flexible hours
• Comprehensive health and wellness benefits, including medical insurance
• Professional development opportunities, including AWS certifications reimbursement
• Generous paid time off and remote work stipend for home office setup
• Collaborative global team environment with regular virtual team-building events