IN_Senior Associate_AI Engineer_Data& Analytics_Advisory_Bangalore
INR 2520K-4000K (estimate) Senior-level Full Time
Tasks
- Apply DevOps and LLMOps practices
- Build APIs for model inference at scale
- Design ML pipelines for experiment management
- Fine-tune and optimize LLMs
- Implement distributed training and serving
- Manage ML models and features
- Orchestrate workflows with Kubernetes and containers
- Reduce training and resource requirements
- Retrain models based on performance
- Serve and optimize large language models
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Agile | Amazon Aurora | Amazon RDS | Amazon SageMaker | Azure AI | Azure DevOps | Azure OpenAI | Azure SQL | Azure SQL Database | CI/CD | Cosmos DB | Data parallelism | Deep learning | DeepSpeed | Distributed Training | Docker | Docker Swarm | DynamoDB | Fine Tuning | Flowise | Fluentd | GPU Architecture | Google BigQuery | Grafana | Hadoop | Hugging Face | Hugging Face Transformers | JavaScript | Kafka | Keras | Kibana | Kubernetes | LLM serving | LLMOps | LangFlow | Langchain | Langgraph | Llamaindex | MLflow | Machine Learning | Model Fine-tuning | Model Parallelism | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | SQL Database | Spanner | TensorFlow | VLLM | Vertex AI
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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