Experienced AI Engineer for Storage Domain
Bengaluru, Karnātaka, India
INR 3700K-4600K (estimate) Senior-level Full Time
Tasks
- Build and deploy hybrid RAG architectures
- Conduct workshops training and technical presentations
- Create plugins adapters or APIs for retrieval integration
- Design and develop solutions from data and metadata
- Design support procedures and testing protocols
- Develop and manage AI pipelines for retrieval and generation
- Document system architecture and lessons learned
- Ensure AI governance compliance
- Evaluate and benchmark vector databases
- Evaluate solutions using accuracy latency and satisfaction metrics
- Fine-tune and optimize large language models
- Integrate LLMs with retrieval systems
- Integrate vector search into production systems
- Lead cross functional teams to prioritize AI opportunities
- Mentor junior AI engineers
- Monitor troubleshoot and improve pipeline performance
- Translate technical AI findings for business stakeholders
- Tune retrieval parameters and model hyperparameters
Perks/Benefits
Skills/Tech-stack
Algorithms | Cloud Architecture | Deep learning | DevOps | Distributed Computing | Elasticsearch | Language Models | Language Processing | Large Language Models | Machine Learning | Microservices | Natural Language | Natural Language Processing | NoSQL | Python | RDBMS | REST APIs | Retrieval-Augmented Generation | Security | 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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