Cloud Machine Learning Specialist

5 days ago

bangalore, India beBeeMachineLearningEngineer Full time

Cloud Machine Learning Engineer PositionWe are seeking a skilled Cloud Machine Learning Engineer to support the development, deployment, and optimization of machine learning services in a cloud-native environment. This role focuses on building scalable pipelines, integrating models into production, and ensuring reliable cloud infrastructure for ML applications.The ideal candidate has hands-on experience with ML workflow tools, cloud orchestration, and software development best practices. They will be responsible for developing, maintaining, and optimizing ML pipelines, including data ingestion, preprocessing, feature engineering, and model deployment.Key Responsibilities:Develop, maintain, and optimize ML pipelinesIntegrate machine learning models into production-grade APIs and servicesCollaborate with data scientists to transition research models into scalable, cloud-ready solutionsBuild automated workflows for model training, evaluation, monitoring, and CI/CDManage and optimize cloud infrastructure for compute, storage, orchestration, and networkingImplement model performance monitoring, logging, and automated alertingEnsure reliability, scalability, and cost-efficiency of ML environmentsTroubleshoot production ML workflows and resolve performance bottlenecksRequired Skills and Qualifications:3–5 years of hands-on experience in machine learning engineering, MLOps, or cloud engineeringStrong foundations in Python, ML workflows, and API developmentExperience deploying models into production using Docker/KubernetesPractical experience with at least one major cloud provider (AWS, GCP, or Azure)Familiarity with ML lifecycle tools (MLflow, Airflow, Kubeflow, or similar)Experience building or maintaining CI/CD pipelinesUnderstanding of distributed systems, container orchestration, and cloud-native architecturesBenefits:Opportunity to work with cutting-edge technologies and innovative projectsCollaborative and dynamic work environmentProfessional growth and development opportunitiesCloud Services:AWS: S3, SageMaker, Lambda, EC2, EKSGCP: GCS, Vertex AI, Cloud Run, GKEAzure: Blob Storage, ML Studio, AKSML / MLOps Tools:MLflow, Kubeflow, Airflow, TFX, SageMaker PipelinesModel serving frameworks: TensorFlow Serving, TorchServe, FastAPILanguages & Frameworks:Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow)Bash, SQLAPI development (FastAPI, Flask, Django)DevOps & Infra:Docker, KubernetesCI/CD tools (GitHub Actions, GitLab CI, Jenkins)Terraform or CloudFormation for IaCMonitoring: Prometheus, Grafana, CloudWatchWhy this Role?This is an exciting opportunity to join our team as a Cloud Machine Learning Engineer and contribute to the development of innovative machine learning solutions. If you have a passion for machine learning, cloud computing, and software development, we encourage you to apply for this position.

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