ML Systems Engineer (Bengaluru)

ML Systems Engineer (Bengaluru)

13 Aug
|
Deccan AI Experts
|
Bengaluru

13 Aug

Deccan AI Experts

Bengaluru

About Us
Deccan AI Experts is a pioneering AI company founded by IIT Bombay and IIM Ahmedabad alumni, with a robust founding team from IITs, NITs, and BITS. We specialize in high-quality human-curated data, AI-first operations, and advanced AI evaluation systems. Our global network of technology experts helps train and evaluate next-generation AI models through expert engineering judgment and domain-specific expertise.

About the Role
We are seeking an ML Systems Engineer (Freelancer) to support advanced AI evaluation initiatives focused on machine learning infrastructure, distributed systems, model deployment, MLOps, large-scale AI systems, and AI-generated technical content evaluation.
In this role, you will evaluate AI-generated machine learning architectures, deployment pipelines, distributed training workflows, inference systems, infrastructure code, system designs, and engineering documentation. Your expertise will help improve AI systems designed for production-scale machine learning, cloud infrastructure, model serving, and AI platform engineering.




This position is ideal for professionals with experience in machine learning systems, backend engineering, MLOps, cloud computing, distributed systems, AI infrastructure, or platform engineering.

Responsibilities
Review AI-generated infrastructure code, deployment workflows, architecture diagrams, CI/CD pipelines, technical documentation, and system design proposals.
Evaluate distributed machine learning systems involving GPU clusters, model orchestration, feature stores, experiment tracking, batch and real-time inference, and monitoring pipelines.
Verify AI-generated recommendations for model versioning, infrastructure scalability, fault tolerance, observability, latency optimization, and resource utilization.
Assess AI-generated code for maintainability, cloud best practices, infrastructure automation, and production readiness.
Identify architectural flaws, infrastructure bottlenecks, deployment risks, security

📌 ML Systems Engineer (Bengaluru)
🏢 Deccan AI Experts
📍 Bengaluru

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