AI/ML Engineer
Tasks
- Build NLP and LLM based solutions
- Build and maintain MLOps pipelines
- Collaborate with engineering and business stakeholders
- Deliver end-to-end AI/ML projects
- Deploy and manage solutions in cloud and on premise environments
- Design and implement anomaly detection systems
- Develop RAG conversational AI
- Ensure model observability with logging and monitoring
- Integrate AI solutions into existing ecosystems
- Manage model lifecycles in production
- Translate requirements into scalable AI architectures
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Kafka | Azure | Azure DevOps | Bash | CI/CD | DevOps | Docker | Git | GitHub | HPC | Helm | JavaScript | Kubernetes | Language Models | Language Processing | Large Language Models | Linux | Logging | MLOps | Machine Learning | MongoDB | Monitoring | Natural Language | Natural Language Processing | Node.js | PostgreSQL | Python | Retrieval-Augmented Generation | SSH | TypeScript
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer | NLP Engineer
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