IN-Senior Associate _AI Engineer__ D&A_ Advisory_ Bangalore
INR 1200K-2000K (estimate) Mid-level Full Time
Tasks
- Apply DevOps and LLMOps practices
- Build LLM orchestration workflows
- Build model inference APIs at scale
- Deploy and orchestrate containers with Kubernetes
- Design machine learning pipelines
- Fine-tune and optimize models
- Implement model and data parallel training
- Integrate with data warehouses and databases
- Manage experiments and models
- Manage features and retrain models
- Optimize latency and accuracy
- Perform distributed training and serving
- Serve large language models
- Support cloud AI services for training and inference
Perks/Benefits
- Equal employment opportunity
- Flexibility programmes
- Inclusive benefits
- Mentorship
- Wellbeing support
- Work-life support
Skills/Tech-stack
AWS Bedrock | AWS Professional Solution Architect | Amazon SageMaker | Aurora | Azure | Azure AI | BigQuery | Cloud Computing | Cosmos DB | Data parallelism | Deep learning | DeepSpeed | Distributed Training | Docker | DynamoDB | Fine Tuning | Flowise | Fluentd | GPU Architecture | Google Spanner | Google Vertex | Google Vertex AI | Grafana | Hugging Face | JavaScript | Kibana | Kubernetes | LLMOps | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Microsoft Azure | Microsoft Azure AI | Model Parallelism | MongoDB | MySQL | PostgreSQL | Prometheus | Python | RDS | SQL | Solution Architect | VLLM | Vertex AI
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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