AI/ML Engineer
Atlanta, GA[Hybrid 3-4 days/week to onsite is must]
Job Overview:
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.
Key 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
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