Senior MLOps Engineer

Position: Senior MLOps Engineer

Location: Noida (Hybrid)

Experience: 8-12 Years

About BinQl

eBinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore and Australia. We specialize in structured hiring, managed teams, and long-term delivery support

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Role Summar

y:Own the deployment, monitoring, and lifecycle management of production ML models for telecom network operations automation. Collaborate with data scientists and network operations teams to ensure robust AI/ML delivery and set engineering standards for MLOp

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What You'll

Do:• Design and maintain end-to-end ML pipelines covering training, validation, deployment, and retraining across multiple customer environme

nts• Build and manage CI/CD workflows for ML models with automated testing, evaluation gates, and staged rollout strateg

ies• Implement model monitoring to detect data drift, performance degradation, and distribution shifts in product

ion• Manage multi-tenant model deployments with version control, environment isolation, and rollback capabil

ity
What We're Looking For (Must-Hav

es):• Strong foundation in ML pipeline design — training, evaluation, packaging, deployment, and monito

ring• Hands-on experience building CI/CD pipelines adapted for ML workflows, including model evaluation and data valida

tion• Proficiency in containerisation and container orchestration for scalable, isolated ML workload deploy

ment• Experience with model serving infrastructure — low-latency inference, batching strategies, and API de

sign• Experience with feature engineering pipelines for both real-time and batch

data• Strong Python programming skills; ability to build internal tooling and automation scr

ipts• Experiment tracking, dataset versioning, and a strong culture of reproducible ML, Experience in both GCP and Az