MLOPs Engg

Job Summary

Job Descr Job Title- MLOps Engineer JD- 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. Essential Experience 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 methodology Additional 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