IN_Senior Associate_AI Engineer _Data& Analytics_Advisory_Bangalore
INR 2300K-4680K (estimate) Senior-level Full Time
Tasks
- Analyze test results
- Apply DevOps and LLMOps practices
- Apply model fine tuning
- Build model inferencing APIs
- Containerize services with Docker
- Coordinate automated testing activities
- Create Traceability Matrices
- Create parameterized test cases
- Deploy models on Kubernetes
- Design ML pipelines
- Design feature management
- Design model management
- Develop test automation frameworks
- Develop test plans and test cases
- Develop test scripts
- Drive automated regression testing
- Drive performance and load testing
- Execute tests across multiple environments
- Identify defects and corrective actions
- Implement distributed model serving
- Implement distributed training
- Lead automation initiatives for analytics team
- Maintain test execution documentation
- Manage model retraining
- Optimize model accuracy
- Optimize model latency
- Orchestrate LLM workflows
- Provide test status updates
- Reduce fine tuning resource requirements
- Set automation KPIs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Agile | Amazon SageMaker | Azure | Azure AI | CI/CD | Databricks | DeepSpeed | Distributed Training | Docker | Fine Tuning | Flowise | Fluentd | GPU Architecture | GPU Training | GenAI | Google Vertex | Google Vertex AI | Grafana | HTTP | Hugging Face | JUnit | Java | JavaScript | Jira | Keras | Kibana | Kubernetes | LLM | LLMOps | LangFlow | Langchain | Langgraph | Llamaindex | MLflow | Model Fine-tuning | Model Optimization | Prometheus | PySpark | PyTorch | Python | SQL | SSL | Scrum | Selenium | TensorFlow | TestNG | VLLM | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Business Administration | Master of Science
Roles
AI | AI Engineer | Automation Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer | QA & Automation Lead | QA Automation
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