IN_Senior Associate_AI Engineer _Data& Analytics_Advisory_Bangalore
INR 2300K-4680K (estimate) Senior-level Full Time
Tasks
- Analyze test results and identify defects
- Build model inferencing APIs at scale
- Build scalable test automation frameworks
- Create Traceability Matrices
- Deploy services using Kubernetes and Docker
- Design ML pipelines
- Design model management and retraining workflows
- Develop LLMOps with LangChain and LangGraph
- Develop test plans scripts and test cases
- Enable distributed training and serving for large language models
- Execute automated regression and performance testing
- Implement DevOps and LLMOps practices
- Lead automation initiatives for analytics team
- Maintain automation documentation and reporting
- Mentor test automation engineers
- Orchestrate LLM workflows
- Perform model fine-tuning and optimization
- Reduce training time and resource usage for LLMs
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Agile | Amazon DynamoDB | Amazon SageMaker | Azure AI | CI/CD | CSS | CUDA | Container Orchestration | Continuous Delivery | Continuous integration | Data parallelism | Databricks | DeepSpeed | DevOps | Distributed Training | Docker | Fine Tuning | Flowise | Fluentd | GPU Architecture | Google BigQuery | Grafana | HTML | HTTP | Hugging Face | JUnit | Java | JavaScript | Jira | Keras | Kibana | Kubernetes | LLM optimization | LLM orchestration | LLMOps | LangFlow | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Machine Learning Pipelines | Model Fine-tuning | Model Parallelism | MongoDB | PostgreSQL | Prometheus | PySpark | PyTorch | Python | SQL | SSL | Scrum | Selenium | TensorFlow | TestNG | VLLM | Vertex AI | XML
Roles
AI | AI Engineer | Automation Lead | Engineer | Lead | QA & Automation Lead | QA Automation
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