IN_Senior Associate_GEN AI_Data and Analytics_Advisory_Bangalore
Bengaluru Millenia, India
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Apply MLOps practices
- Build model inference APIs
- Design ML pipelines
- Fine-tune and optimize LLMs
- Implement GPU based model training
- Manage ML experiments
- Manage models and features
- Optimize distributed training
- Orchestrate LLM workflows
- Perform data analysis on large datasets
- Retrain models
- Serve large language models
- Set up Kubernetes deployments
- Support data-driven decision making
- Use Docker container orchestration
Perks/Benefits
- Flexible working arrangements
- Inclusive benefits
- Learning and development programs
- Mentorship
- Wellbeing support
Skills/Tech-stack
AWS Bedrock | Amazon DynamoDB | Amazon RDS | Amazon SageMaker | Aurora PostgreSQL | Azure AI | Azure Cosmos | Azure Cosmos DB | Cloud Computing | Cloud Spanner | Container Orchestration | Cosmos DB | DeepSpeed | Distributed Training | Docker | Fine Tuning | Flask | Flowise | Fluentd | GPU Architecture | Generative AI | Google BigQuery | Google Cloud | Google Cloud Spanner | Grafana | Hugging Face | Hugging Face Transformers | JavaScript | Keras | Kibana | Kubernetes | LLMOps | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | MLflow | Machine Learning | Model Fine-tuning | MongoDB | MySQL | PostgreSQL | Prometheus | PyTorch | Python | SQL | TensorFlow | VLLM | Vertex AI
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