IN-Senior Associate _AI Engineer__ D&A_ Advisory_ Bangalore
INR 1200K-2000K (estimate) Mid-level Full Time
Tasks
- Build model inference APIs
- Containerize with Docker
- Deploy with Kubernetes
- Design ML pipelines
- Fine-tune and optimize models
- Implement DevOps and LLMOps practices
- Integrate with data stores
- Manage experiments
- Manage features
- Manage models
- Optimize GPU training and serving
- Orchestrate LLM workflows
- Perform distributed training
- Reduce latency and improve accuracy
- Reduce training resource requirements
- Retrain models
- Serve large language models
- Train and serve LLMs at scale
- Use analytics to extract insights
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Amazon Aurora | Amazon DynamoDB | Amazon SageMaker | Azure AI | Azure Cosmos | Azure Cosmos DB | Azure OpenAI | Azure OpenAI Service | Cloud Spanner | Cosmos DB | DeepSpeed | Docker | Elasticsearch | Flowise | Fluentd | Gen AI | Google BigQuery | Google Cloud | Google Cloud Spanner | Grafana | Hugging Face | JavaScript | Kibana | Kubernetes | LLM | LVM | Langchain | Langgraph | Llamaindex | MLflow | MongoDB | MySQL | OpenAI Service | PostgreSQL | Prometheus | Python | RDS | SQL | VLLM | Vertex AI
Education
Bachelor of Computer Applications | Bachelor of Engineering | Master of Business Administration | Master of Computer Applications | Master of Technology
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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