[Remote] Data Science Engineer-ML/NLP at Relyance AI

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Legal Technology, AI & Machine LearningIndustries

Skills

Key technologies and capabilities for this role

NLPLarge Language ModelsGPT-4LLaMA 2T5BERTModel ArchitecturesData CurationModel TrainingError AnalysisData EngineeringAirflowVertexAIBigQuery

Questions & Answers

Common questions about this position

What salary or compensation can I expect for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this Senior ML/NLP Engineer role?

Candidates need 7+ years of experience building ML and NLP solutions or a PhD in a relevant field, expert-level proficiency in languages like Python, Java, C#, C++, or Scala, and strong skills in data structures, algorithms, and object-oriented design. Additional requirements include full-stack abilities across ML/NLP to cloud infrastructure and excellent communication skills.

What is the company culture like at Relyance AI?

The culture emphasizes a fast-paced environment, a 'get stuff done' attitude, hands-on collaboration, and solving complex problems with simple, pragmatic solutions. It values creative strategic thinking, adaptability, and influencing product direction to build robust, flexible AI systems.

What makes a strong candidate for this position?

Strong candidates have 7+ years in ML/NLP or a relevant PhD, expert programming skills, full-stack versatility, and a proven track record of strategic thinking, pragmatic problem-solving, and collaboration in fast-paced settings.

Relyance AI

Data protection and privacy compliance platform

About Relyance AI

Relyance AI specializes in data protection and privacy compliance by using machine learning to create a real-time inventory and map of personal data flows within organizations. Their software-as-a-service (SaaS) platform allows clients to monitor data processing activities, ensuring compliance with privacy regulations. What makes Relyance AI different is its focus on automating data tracking, which reduces manual workflows and compliance risks. The company's goal is to help organizations maintain user trust and meet regulatory requirements effectively.

Mountain View, CaliforniaHeadquarters

2020Year Founded

$60.3MTotal Funding

SERIES_BCompany Stage

Enterprise Software, Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Risks

Emerging competition from platforms like OneTrust and TrustArc.

Frequent updates needed due to evolving AI regulations increase costs.

Complex data privacy laws across jurisdictions challenge universal compliance.

Differentiation

Relyance AI uses machine learning for real-time data flow mapping.

The platform offers asset-level visibility and lineage for sensitive data.

Relyance AI integrates privacy compliance directly into code bases.

Upsides

Raised $32M in Series B funding, enhancing growth and innovation.

Named a 2023 Gartner Cool Vendor in Privacy, boosting credibility.

Growing demand for AI-driven compliance solutions supports market expansion.

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