Advanced Engineer: ML, LLM, NLP, RAG
IN Bangalore Sattva Knowledge Court Bdg HII, India
R
INR 2500K-3465K (estimate) Senior-level Full Time
Tasks
- Add monitoring for latency failures drift and usage
- Build RAG pipelines
- Containerize AI services
- Deploy AI services on Kubernetes and cloud
- Develop AI enabled tool for systems engineering
- Develop AI enabled tools for software engineering
- Develop AI enabled tools for testing and validation
- Develop LLM-powered applications
- Develop multimodal models for audio and images
- Establish MLOps practices
- Implement CI/CD for ML
- Implement NLP solutions
- Integrate AI capabilities into SDLC workflows
- Lead end to end delivery of production grade AI systems
- Lead mentor and review code for a team
- Set up experiment tracking and model registry
Perks/Benefits
- Employee discounts
- Flexible work environment
- Remote work options
- Training opportunities
- Tuition reimbursement
- Wellness benefits
Skills/Tech-stack
AWS | Audio Processing | Azure | CI/CD | Cloud platform | Computer Vision | Docker | Faiss | Git | Google Cloud | Google Cloud Platform | Grafana | HuggingFace Transformers | Kubernetes | Language Models | Language Processing | Large Language Models | Linux | MLflow | Machine Learning | Model Registry | Monitoring | Multimodal Machine Learning | Natural Language | Natural Language Processing | Observability | OpenCV | Pinecone | Prometheus | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Vector Databases
Education
Roles
AI | AI Technical Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Technical Lead
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