IN_Associate_AI Engineer_D&A_Advisory_Bangalore
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Apply DevOps and LLMOps practices
- Build model inference APIs at scale
- Containerize applications with Docker
- Deploy and manage services with Kubernetes
- Deploy large language model training and serving
- Design ML pipelines for experiment management
- Design ML pipelines for feature management
- Design ML pipelines for model management
- Design ML pipelines for model retraining
- Fine-tune and optimize large language models
- Implement model and data parallel training
- Optimize training and resource usage for fine tuning
- Orchestrate large language models with LangChain
- Orchestrate large language models with LangGraph
- Reduce latency and improve model accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Aurora | Amazon RDS | Amazon SageMaker | Azure | Azure AI | Cloud Computing | Cosmos DB | Data parallelism | DeepSpeed | DevOps | Distributed Training | Docker | DynamoDB | Fine Tuning | Flowise | GCP | GPU Architecture | Google BigQuery | Google Vertex | Google Vertex AI | Hugging Face | Keras | Kubernetes | Kubernetes orchestration | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | MLflow | Machine Learning | Model Fine-tuning | Model Optimization | Model Parallelism | MongoDB | MySQL | NoSQL | PostgreSQL | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI
Education
Bachelor of Engineering | Bachelor of Technology | Master of Business Administration | Master of Computer Applications
Roles
AI | AI Architect | AI Engineer | Architect | Associate | Associate AI Engineer | Engineer
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