ML Reliability Engineer

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.