Manager - GTS - AI Tech Lead
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build data ingestion pipelines
- Collaborate with business analysts and domain experts
- Collaborate with data engineering on data flows quality and governance
- Containerize and scale AI systems
- Define system components
- Design end-to-end AI applications
- Enforce security best practices and data privacy
- Ensure scalability reliability maintainability security
- Implement AI application solutions
- Implement monitoring and versioning
- Lead AI reference architectures
- Manage AI application lifecycle from design to optimization
- Oversee AI ML project planning execution delivery
- Provide engineering mentorship and knowledge sharing
- Set up CI CD frameworks
- Train and deploy ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Kafka | Autogen | CI/CD | Cassandra | Cloud platform | CloudFormation | Continuous Deployment | Continuous integration | CrewAI | Deep learning | Distributed Systems | Docker | Event Driven | Event-driven architecture | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | GraphQL | Infrastructure as Code | Jenkins | Keras | Kubernetes | Langgraph | Language Processing | Microservices | Microsoft Azure | MongoDB | Natural Language | Natural Language Processing | NoSQL | PostgreSQL | PyTorch | Python | REST APIs | RabbitMQ | SQL | TensorFlow | Terraform | Transformers | “as-code”
Education
Roles
AI | AI Architect | AI Tech Lead | Architect | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Tech Lead
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