Experienced AI Engineer for Storage Domain
Bengaluru, Karnātaka, India
INR 3700K-4600K (estimate) Senior-level Full Time
Tasks
- Build and deploy RAG architectures
- Create plugins adapters and APIs for retrieval systems
- Demonstrate AI use cases through workshops and training
- Design and develop AI solutions for storage data
- Develop and manage AI pipelines
- Document solution architecture and lessons learned
- Evaluate and benchmark vector databases
- Evaluate solutions using accuracy latency and user metrics
- Fine-tune and optimize large language models
- Integrate LLMs with retrieval systems
- Integrate vector search into production systems
- Lead cross-functional teams
- Mentor junior AI engineers
- Monitor AI governance compliance
- Monitor troubleshoot and optimize pipelines
- Translate AI findings for non technical stakeholders
Perks/Benefits
- Career Development Programs
- Flexible work arrangement
- Health and wellbeing benefits
- Hybrid work schedule
- Inclusion initiatives
Skills/Tech-stack
Deep learning | DevOps | Distributed Computing | Elasticsearch | Hyperparameter Tuning | Language Models | Language Processing | Large Language Models | Machine Learning | Microservices | Natural Language | Natural Language Processing | NoSQL | Python | RAG | RDBMS | REST API | Retrieval-Augmented Generation | TensorFlow | Testing Automation | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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