Vacancy description
Sonata Software Limited
India, Bengaluru
Sonata Software - Lead MLOps DevOps Engineer in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Title : Lead MLOps DevOps https://jobeax.com/link/bF4myIpqbKstZFWN Location : Bangalore, https://jobeax.com/link/zDc0YtaNmEkNX3mZ Range : 8 - 12 https://jobeax.com/link/538h6twOUpNDLvhD We're Looking For :This lead-level role owns the design and operation of MLOps and DevOps platforms that support reliable model build, test, deployment, and release https://jobeax.com/link/KolRTDQZdfDk7db0 position combines cloud-native infrastructure, container orchestration, automation, and production model serving to improve delivery speed, governance, and operational stability across machine learning https://jobeax.com/link/D97KR0fNczjlIZqw Responsibilities :- Design and operate scalable MLOps pipelines that support reliable build, test, deployment, and release processes for machine learning workloads.- Lead the implementation of cloud-native infrastructure, container orchestration, and automation practices across development and production environments to improve scalability and repeatability.- Establish monitoring, logging, and alerting standards for model and platform services to improve reliability, performance, and incident response.- Partner with data science, engineering, and security teams to productionize machine learning workloads with governance, repeatability, and compliance.- Define deployment standards for model serving, artifact promotion, and environment parity to reduce release risk and accelerate production adoption.- Drive technical best practices, mentor engineers on platform automation patterns, and continuously improve delivery speed and operational efficiency.- Strengthen secrets handling, access controls, and release governance across CI/CD and runtime environments to improve security and audit readiness.Must-Have Skills :- MLOps & Model Lifecycle : MLOps, Model deployment and serving.- Cloud-Native Infrastructure & Orchestration : Containers, Kubernetes.- Delivery Automation & Release Engineering : CI/CD pipelines, Artifact and package management.- Infrastructure Provisioning & Security : Infrastructure as Code, Secrets management.- Monitoring and observability.- https://jobeax.com/link/4zvJpbojMeXLf5V6 Skills :- Operating Systems & Scripting : Linux, Bash and Python.- Version Control & Source Management : Gitlab, GitHub.- Cloud Platforms : AWS (Amazon Web Services).- Containerization & Deployment : Docker, Kubernetes.- Infrastructure Automation & Configuration Management : Terraform, Ansible, CloudFormation.- CI/CD Platforms : GitLab CI/CD.- Observability Tools : DataDog or Dynatrace.- MLOps Platforms & Workflow Orchestration : MLflow, Airflow, AWS SageMaker.- Data & API Integration : SQL, REST APIs.- Cloud Security & Access Control : IAM and cloud security https://jobeax.com/link/gYNTUl4rnXIYIqrO Join This Opportunity?- Own the platform layer that turns machine learning models into reliable production services.- Influence DevOps and MLOps standards across build, deployment, observability, and governance workflows.- Work at lead level on cloud-native automation and model-serving patterns that improve release speed and operational stability. (ref:hirist.tech)
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