What are the responsibilities and job description for the Machine Learning Engineer/LLM - Onsite Role - Need Locals to CA position at Aventine software?
Job Details
Need Locals to CA Only
Job Role - Staff Machine Learning Engineer, LLM FineTuning (Verilog/RTL Applications)
Location - San Jose, CA Day 1 Onsite
Job Type C2C
- 10 years total engineering experience with 5 years in ML/AI or largescale distributed systems; 3 years working directly with transformers/LLMs.
- Proven track record shipping LLMpowered features in production and leading ambiguous, crossfunctional initiatives at Staff level.
- Deep handson skill with PyTorch, Hugging Face Transformers/PEFT/TRL, distributed training (DeepSpeed/FSDP), quantizationaware finetuning (LoRA/QLoRA), and constrained/grammarguided decoding.
- AWS expertise to design and defend secure enterprise deployments, including:
- Amazon Bedrock (model selection, Anthropic model usage, model customization, Guardrails, Knowledge Bases, Bedrock runtime APIs, VPC endpoints)
- SageMaker (Training, Inference, Pipelines), S3, EC2/EKS/ECR, VPC/Subnets/Security Groups, IAM, KMS, PrivateLink, CloudWatch/CloudTrail, Step Functions, Batch, Secrets Manager.
- Strong software engineering fundamentals: testing, CI/CD, observability, performance tuning; Python a must (bonus for Go/Java/C ).
- Demonstrated ability to set technical vision and influence across teams; excellent written and verbal communication for execs and engineers.
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