IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build APIs for model inferencing
- Deploy and orchestrate containers in Kubernetes
- Design machine learning pipelines
- Fine-tune and optimize large language models
- Implement distributed training
- Implement model and data parallel training
- Integrate with data stores and data warehouses
- Manage experiments and models
- Manage model features and retraining
- Orchestrate LLM workflows
- Reduce latency and training cost
- Serve large language models at scale
- Set up DevOps for machine learning
- Train and deploy using MLOps tools
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Aurora | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Azure | Azure AI | Azure Cosmos | Azure Cosmos DB | Cloud Computing | Cosmos DB | DeepSpeed | Distributed Training | Docker | Docker Swarm | Fine Tuning | Flowise | Fluentd | GPU Architecture | Generative AI | Google BigQuery | Google Cloud | Google Spanner | Google Vertex | Google Vertex AI | Grafana | Hugging Face | Keras | Kibana | Kubernetes | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | LoRA | MLflow | Machine Learning | Model Fine-tuning | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | TensorFlow | Transformers | VLLM | Vertex AI
Education
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