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Saviynt

AI Platform Engineer, Training and Inference

Saviynt · Milpitas, California

Posted about 2 months ago

or apply directly on Saviynt's site. We never take the application ourselves.

Is this posting real?

This role has been open
53 days
Saviynt's roles stay open a median of 54 days
Reposted
No
Salary listed
No
0% of Saviynt's roles list one
Ghost-job risk at Saviynt
high
76 stale, 1 reposted of 86 open
Hiring momentum
130 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-27

Measured from postings appearing on and disappearing from Saviynt's own lever board since 2026-08-04. Full hiring picture for Saviynt.

About this role

As an AI Platform Engineer focused on Training and Inference at Saviynt, you will be responsible for managing and optimizing the Ray ecosystem for distributed training and inference of AI models. Your day-to-day tasks will involve operating the full model promotion lifecycle, building RL training infrastructure, and ensuring the performance of LLM inference mesh. You will also work on integrating retrieval-augmented generation into the inference process, contributing to the development of AI solutions that enhance Saviynt's identity products.

Our read on this posting2.6out of 5
benefits
2/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Saviynt as an employer.

What you need

  • Experience in ML engineering with time in an ML platform or MLOps role
  • Production Ray depth: Ray Train, Serve, Core, and Data
  • Hands-on with LLM serving engines: vLLM, SGLang, or NVIDIA Triton
  • Knowledge of distributed training: DDP, FSDP, NCCL collectives, gradient checkpointing, and mixed precision
  • Familiarity with model lifecycle operations: MLflow registry, shadow/A/B/canary patterns, and auto-rollback
  • Experience with vector databases: Pgvector or Qdrant

Nice to have

  • Quantization: INT8/INT4/FP8 post-training quantization

What you get

  • Competitive total rewards package
  • Eligibility to participate in a discretionary bonus plan
  • Opportunities for growth and advancement in your career

Worth weighing

  • No specific salary range listed
  • Role involves managing complex distributed systems, which may require a steep learning curve
  • Emphasis on security and compliance may add additional responsibilities

Summarised from Saviynt's posting. Read the full original.

Listed by Saviynt on their lever job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.

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