AI/ML Engineer-W2

About the Role

We are looking for a skilled Machine Learning Platform Engineer to design, build, and maintain scalable ML platforms and infrastructure. The ideal candidate will have strong experience in platform engineering, microservices architecture, and deploying ML models into production environments.

Responsibilities

• Design and develop robust ML platforms to support model development, training, and deployment
• Build and maintain scalable microservices-based architectures for ML applications
• Develop and optimize model inference pipelines for real-time and batch processing
• Work with containerization technologies like Docker and orchestration tools such as Kubernetes
• Collaborate with data scientists and engineers to productionize ML models
• Ensure platform reliability, scalability, and performance
• Implement best practices for CI/CD, monitoring, and logging in ML systems

Required Skills & Qualifications

• Experience Level: 5-10 years
• Strong experience in Python (must-have)
• Hands-on experience in ML Platform Engineering / ML Engineering
• Solid understanding of model inferencing and deployment strategies
• Experience with microservices architecture and platform development
• Proficiency in Docker, containers, and Kubernetes
• Good understanding of distributed systems and scalable architectures

Preferred Qualifications

• Experience working with Microsoft Azure (highly preferred)
• Familiarity with Azure ML, AKS, or related cloud services
• Experience with MLOps practices and tools

Location: Atlanta, GA (Hybrid 3-4 days/week onsite is required)