Staff Engineer/AI-ML Engineer
INR 2500K-4800K (estimate) Senior-level Full Time
Tasks
- Adopt and promote MLOps best practices
- Assess value of new data sources and analytical techniques
- Automate workflows using orchestration platforms
- Build and deploy web services in cloud environments
- Calibrate deliverables with leadership and partners
- Collaborate with enterprise data and architecture teams
- Deliver model deployment milestones in AWS and GCP
- Design and maintain models as a service
- Develop CI/CD pipelines
- Implement infrastructure-as-code
- Mentor junior engineers and present to technical audiences
- Research and implement generative and machine learning algorithms
Perks/Benefits
- N/A
Skills/Tech-stack
API Management | AWS CloudFormation | AWS SageMaker | Agentic Workflows | Amazon Redshift | Amazon Web Services | Apache Airflow | BigQuery | C# | CI/CD | Cloud platform | Credentials management | Docker | EC2 | Generative AI | GitHub | GitHub Actions | Google Cloud | Google Cloud Platform | Hadoop | Hive | Infrastructure as Code | Java | Jenkins | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Object-Oriented | Object-oriented programming | Python | RDBMS | SQL | Snowflake | Spark | Streamlit | Terraform | Web Security | Web Services | “as-code”
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Staff Engineer
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