IN_Associate_AI Engineer_D&A_Advisory_Bangalore
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Apply DevOps and LLMOps practices
- Deploy and manage LLM services on Kubernetes
- Design ML pipelines for experiment management
- Design ML pipelines for feature management
- Design ML pipelines for model management
- Design ML pipelines for model retraining
- Develop APIs for model inferencing at scale
- Fine tune and optimize machine learning models
- Implement distributed serving for large language models
- Implement distributed training for large language models
- Optimize latency and accuracy for model outputs
- Orchestrate LLM workflows using orchestration frameworks
- Reduce training and resource requirements for fine tuning
- Use containerization with Docker
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Amazon Aurora | Amazon RDS | Amazon SageMaker | Azure AI | Azure Solutions Architect | Azure solutions | Cloud platform | Cosmos DB | Data parallelism | DeepSpeed | Distributed Training | Docker | DynamoDB | Flowise | Fluentd | GPU Architecture | Google BigQuery | Google Cloud | Google Cloud Platform | Google Spanner | Grafana | Hugging Face | JavaScript | Keras | Kibana | Kubernetes | LangFlow | Langchain | Langgraph | Llamaindex | MLflow | Microsoft Azure | Model Parallelism | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | Solutions architect | TensorFlow | VLLM | Vertex AI
Education
Bachelor of Engineering | Bachelor of Technology | Master of Business Administration | Master of Computer Applications
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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