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1–3 jobs· newest first

Staff AI ScientistNew
Uniphore · Palo Alto, US
$193K–$241KOn-site · Full-time · Staff
Assistant Director – AI / GenAI (Go-To-Market)
EY · Bengaluru, India+6 more
Manager
NVIDIA Infrastructure Engineer — NVIDIA V100 or A100
Syncreon Consulting · New York, US

+10K new in the last hour

Staff AI Scientist

Uniphore · Posted Sep 14, 2026

Palo Alto, California, United States
On-site
Full-time · Staff
$193K–$241K per year
5+ years

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Developing new foundational machine learning technology for Business AI, focusing on AI agent optimization, training of small and efficient foundation models, human-AI interaction, and agentic evaluation.

Compensation

$192,500 - $240,600

Responsibilities

Design and implement AI systems capable of handling complex workflows, including multi-step reasoning, planning, and decision making.
Explore and apply various orchestration patterns and architectures to solve business problems effectively.
Translate abstract requirements into reliable AI behaviors under real operational constraints such as latency, cost, and safety.
Lead systematic experimentation across prompts, agents, model variants, and tool configurations.
Define and implement evaluation strategies for agentic systems, including task success, robustness, failure recovery, and hallucination analysis.

Requirements

MS or PhD in Computer Science
Machine Learning
Operations Research
Statistics
Nice to have: model training

Skills

Applied ML GenAI Frontier models Open-source models Statistical analysis Strong communication skills PEFT SFT distillation reinforcement learning

Benefits

annual incentive opportunity
pre-IPO stock options
medical
dental
vision

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Assistant Director – AI / GenAI (Go-To-Market)

EY · Posted Nov 7, 2026

Bengaluru, Karnataka, India +6 more
Manager
11–14 years

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Locations (7)

Bengaluru, Karnataka, India
Argentina
China
India
Philippines
Poland

NVIDIA Infrastructure Engineer — NVIDIA V100 or A100

Syncreon Consulting · Posted Nov 4, 2026

New York, New York, United States

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Seeking an Infrastructure Engineer with expertise in Kubernetes and NVIDIA GPU clusters (V100/A100), and LLM deployment/support.

Responsibilities

Supporting NVIDIA GPU clusters, including familiarity with GPU/DGX components and troubleshooting
Deploying and supporting LLMs or other open-source models, including updates and patching
Supporting production infrastructure and diagnosing outages

Skills

Kubernetes NVIDIA GPU clusters GPU/DGX components NVIDIA V100 NVIDIA A100 DevOps infrastructure engineering scripting LLMs open-source models NVIDIA GPU

United Kingdom

Responsibilities

Define and execute the AI/GenAI Go-To-Market strategy
Drive business development and client pitches
Own executive-level client relationships
Build AI solution narratives and use cases
Develop and commercialize thought leadership

Requirements

MBA
Master's degree

Skills

Generative AI Machine learning Data analytics Python Azure LLM LangChain Vector databases Open-source models Deep learning Statistical techniques LLM models

See full job description

See full job description