Member of Technical Staff (MTS), Machine Learning, SMAI
Tasks
- Architect and execute custom model training and fine tuning
- Build and maintain data and solution pipelines
- Create and maintain CI CD pipelines for ML and AI agents
- Design and optimize data structures for AI and ML systems
- Design autonomous AI agents for manufacturing workflows
- Implement agentic frameworks to orchestrate LLM interactions
- Optimize distributed training throughput and memory efficiency
- Profile and debug GPU performance bottlenecks
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Autogen | BF16 | Big Data | CI/CD | CUDA | CUDA programming | Chain-of-Thought | Cloud Computing | Cloud platform | CrewAI | Data Pipelines | Data-parallel | DeepSpeed | Distributed Data Parallel | Distributed Training | Distributed data | Docker | ETL | FP16 | FSDP | Fine Tuning | Function Calling | GPU Architecture | Generative AI | Git | Google Cloud | Google Cloud Platform | Jenkins | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | LoRA | Machine Learning | Megatron-LM | Mixed Precision | Model Parallelism | NVLink | Nsight Systems | PEFT | Prompt engineering | PyTorch | PyTorch Profiler | Q LoRA | Snowflake | Tensor cores | TensorRT-LLM | Tool use | Triton | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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