Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
ML/AI
PyTorch
Hugging Face
Amazon Bedrock
SageMaker
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.