Relyance AI

Senior Software Engineer - AI Backend

Bengaluru, Karnataka, India

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer SoftwareIndustries

Requirements

Candidates should possess 7+ years of experience as a key member of teams building complex backends, particularly those handling complex data, and demonstrate expert-level proficiency in Python. They should also have strong data structures, algorithms, and object-oriented software design and implementation skills, along with the ability to learn and operate across the full stack, including ML, NLP, cloud infrastructure, and UI frontend.

Responsibilities

As a Senior Software Engineer - AI Backend, the individual will strategize and execute on a roadmap for a system enabling high-velocity AI development while ensuring product stability, make customer-centric prioritization decisions, deeply understand and architect systems balancing scrappiness with a forward-thinking outlook, and continuously look for opportunities to automate and build tools to lower operational barriers. They will also be a key member of the team solving complex problems with pragmatic solutions, learn and operate with AI/ML technologies such as LLMs and frameworks like PyTorch and TensorFlow, and communicate effectively with clear and concise language, active listening, and empathy.

Skills

Python
Data Structures
Algorithms
Object-Oriented Programming
NLP
LLMs
ChatGPT
GPT-4
BERT
T5
PyTorch
TensorFlow
Model Training
Data Curation

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.

Key Metrics

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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