Senior Data Platform Engineer
Danaher Corporation
full-time
Posted on:
Location Type: Office
Location: Bangalore • 🇮🇳 India
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudFlaskGoogle Cloud PlatformKubernetesNode.jsPythonPyTorchReactScikit-LearnTensorflow
About the role
- Provide end-to-end application support for data platforms and AI applications, ensuring high availability and reliability.
- Manage and optimize AWS infrastructure for data and analytics workloads, including cost and performance tuning.
- Implement and maintain ML Ops pipelines, supporting model deployment, monitoring, and lifecycle management.
- Troubleshoot and resolve platform and application issues, collaborating with engineering and data science teams.
- Drive automation and continuous improvement initiatives aligned with Danaher Business System (DBS) principles.
Requirements
- Bachelor's in Computer Science, Data Engineering, or related field with 6+ years in data platform or application support roles.
- Strong knowledge of AI/ML application support and ML Ops frameworks (e.g., Kubeflow, MLflow).
- Proven ability to architect and implement scalable web applications that integrate with data platforms and machine learning models.
- Proficiency in scripting (Python, Bash) and automation tools.
- Hands On Experience with deploying ReactJS, NodeJS, Flask, FastAPI, TensorFlow, PyTorch, or scikit-learn and other applications in cloud environments (AWS, Azure, or GCP) and using CI/CD pipelines, Dockers and Kubernetes.
- Hands On experience with Data Platforms (Snowflake), AI and ML Applications in large scale deployments.
Benefits
- Comprehensive, competitive benefit programs that add value to our lives
- Health care program
- Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AWSML OpsPythonBashReactJSNodeJSFlaskFastAPITensorFlowPyTorch
Soft skills
collaborationtroubleshootingautomationcontinuous improvement