About the Role
We are seeking an AI Engineering Specialist to architect, design, and scale production-grade AI systems that power intelligent products and internal automation. This role sits at the intersection of machine learning, software engineering, and distributed systems. You will translate business objectives into scalable AI architectures, build robust model pipelines, and ensure performance, reliability, and governance across the AI lifecycle.
If the following job requirements and experience match your skills, please ensure you apply promptly.
This is a hands-on technical role for someone who can think strategically and execute at the system level.
Responsibilities
Architect and deploy end-to-end AI systems from data ingestion to production monitoring
Build scalable batch and real-time ML pipelines, including model serving and optimization
Design and operationalize LLM-powered systems (RAG, fine-tuning, agents, automation workflows)
Establish MLOps best practices including CI/CD, versioning, observability, and governance
Ensure performance, reliability, cost efficiency, and model quality (drift, bias, evaluation)
Partner cross-functionally to translate business goals into scalable AI solutions
Evaluate emerging AI technologies and drive adoption of high-impact innovations
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Requirements
8+ years in Machine Learning Engineering, AI Engineering, or related field
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, etc.)
Experience designing distributed systems and data pipelines
Hands-on experience deploying models in production environments
Deep understanding of APIs, microservices architecture, and cloud platforms (AWS, GCP, or Azure)