MLOPs Engineer

5 - 6 years

5 - 6 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Description

  • Job DescrJob Title- MLOps EngineerJD-We are seeking an experienced MLOps Engineer specializing in AWS to architect, implement, and maintain robust machine learning operations infrastructure
  • This role is crucial in bridging the gap between data science and production deployment, ensuring seamless delivery of ML solutions at scale
  • The ideal candidate will be responsible for building and maintaining scalable, automated ML pipelines, implementing CI/CD practices, and optimizing cloud infrastructure for ML workloads
  • They will work closely with data scientists and software engineers to streamline the model deployment process, establish monitoring systems, and ensure high availability of ML services
  • EssentialExperience Required-Total: 5 6 years with 3+ years in AWS Proven HandsOn experience in: AWS cloud infrastructure management MLOps pipeline development Container orchestration CI/CD implementation Production system monitoring Infrastructure as Code (Terraform/CloudFormation) Desired Skills Technical Skills AWS Services expertise: SageMaker and its components Container technologies (Docker, Kubernetes) Python programming Git and version control CI/CD tools (Gitlab,Jenkins, GitHub Actions) MLOps
  • Knowledge ML deployment patterns Model serving architectures Feature stores Experiment tracking Model monitoring A/B testing frameworks Development Tools Kubeflow MLflow System architecture design Performance optimization Security implementation
  • Soft Skills- Problem solving ability Communication skills Team collaboration Self motivated learning Agile methodologyAdditional
  • Skills - Understanding of ML/DL concepts Experience with microservices architecture Knowledge of Fast API Familiarity with logging and tracin tools Undertanding of data privacy and compliance

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