AI Governance & Auditing

About the Company:

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud”, it enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Title: AI Governance & Auditing

Location: Pune/Chennai

Experience: 8–12 Years

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiners

Shift Timing: Either IST business hours or IST second shift (12.30 pm to 10.30 pm IST) depending on project assignment

"Key Skills and JD: GCP Vertex AI, IBM Watsonx, Should have experience on LLM Governance

Required skills:

• The candidate should have more than 5 years of experience in data science.

• Candidate should have experience working on LLM Observability, security, bias, fairness, etc.

• Should have strong experience working on machine learning projects?

• Should have working experience on GenAI & Agentic AI solutions

• Should have experience in building production-ready AI models

• Good to have knowledge on the compliance aspects: EU AI Registry Act/Responsible AI/Information Risk Management etc.

Key Responsibilities:

• The candidate will develop frameworks for executing DS/AI projects. Example: What is the time required for completing a POC/MVP, etc.?

• Will ensure the milestones in the project life cycle? All the milestones must be validated before going to the next stage.

• The auditor must be experienced to suggest measures to avoid costly mistakes in the project.

• Perform unit test cases to avoid overfitting or identify data leaks, etc."