Malur Karnataka Machine learning engineer Jobs – 118 Open Jobs Today

Lead AI Security Engineer-IDP
Société Générale —Bengaluru, Karnataka
- Azure
- Master's degree
- Project management
Technical Architect - Corporate Domains
Société Générale —Bengaluru, Karnataka
- Azure
- English
- Java
Lead Product Development AI Engineer
Clarivate —Bengaluru Urban District, Karnataka
- Full-time
- Hybrid work
- Azure
- Oracle
- Engineering
.Net Developer
Eastencher Software Pvt Ltd —Whitefield, Bengaluru, Karnataka
- ₹3,00,000 - ₹5,00,000 a year
- Full-time
- Azure
- Software troubleshooting
- DevOps
Quick apply
9d
Network Security Engineer
UST —Bengaluru, Karnataka
- Azure
- AWS
- Bachelor's degree
Quick apply
6d
Lead Software Engineer - ML OPS Engineer
Société Générale —Bengaluru, Karnataka
- Azure
- Project management
- Agile
Subcontractor - AI OPS
BirlaSoft —Bengaluru, Karnataka
- SQL
- AWS
- AI
12d
Azure AI Co-Pilot Engineer
Marlabs —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
Quick apply
Business Analyst(Payments domain)
Société Générale —Bengaluru, Karnataka
- Azure
- Oracle
- Java
8d
Sr. Network Security Engineer with Microsegmentation
BirlaSoft —Bengaluru, Karnataka
- Azure
- AWS
- APIs
Staff Engineer (Cloud Engineering)
Nagarro —Bengaluru, Karnataka
- Full-time
- Computer Science
- DevOps
- Master's degree
Quick apply
Lead Software Engineer- AI Red Team
Société Générale —Bengaluru, Karnataka
- Azure
- Master's degree
- Databases
Technical Specialist-Python AI
BirlaSoft —Bengaluru, Karnataka
- APIs
- AI
- Communication skills
Senior Product AI Data Engineer
Clarivate —Bengaluru Urban District, Karnataka
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Security Architect
Société Générale —Bengaluru, Karnataka
- Azure
- Finance
- AWS
Senior Product Development AI Engineer
Clarivate —Bengaluru Urban District, Karnataka
- Full-time
- Hybrid work
- Azure
- Oracle
- System design
Lead Software Engineering - Devops
Société Générale —Bengaluru, Karnataka
- Azure
- DevOps
- SQL
Generative AI Engineer – GCP
UST —Bengaluru, Karnataka
- Computer Science
- Software troubleshooting
- Master's degree
Quick apply
Principal Software Engineer - AI Research & Development
Société Générale —Bengaluru, Karnataka
- Azure
- Computer Science
- DevOps
Intern for Founder Office
Virsaa The Captain's Mud Retreat —Whitefield, Bengaluru, Karnataka
- ₹5,000 - ₹50,000 a month
- Business development
- In-person
- AI
Quick apply
13d

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Lead AI Security Engineer-IDP

Société Générale -
Bengaluru, Karnataka

Apply Now

Job details

Permanent | Contractual / Temporary

Qualifications

Azure
Cloud architecture
Law
CISSP
CCSP
Master's degree
Project management
Cloud security
NIST standards
APIs
ISO 27001
GIAC Certification
Cybersecurity
AI
RMF
Python
Identity & access management
Design patterns

Full job description

Responsibilities

About the Role-

We are hiring a Lead AI Security Engineer to secure enterprise AI platforms, GenAI applications, LLM-based solutions, AI agents, and AI-enabled services across their full lifecycle. The role will focus primarily on AI security engineering, threat modelling, architecture assurance, secure AI control design, adversarial testing, and practical risk mitigation.

Governance, standards, and risk reporting are part of the role, but they are secondary to hands-on AI security execution and the ability to translate AI-specific threats into secure, scalable, and enterprise-ready technical controls.

Key Responsibilities-

1. AI Security Engineering & Architecture

Design and validate security controls for AI platforms, GenAI applications, LLM integrations, RAG pipelines, AI agents, model endpoints, and AI-enabled workflows.

Partner with engineering, platform, cloud, data, application security, and architecture teams to embed AI security requirements into design, build, deployment, and operations.

2. AI Threat Modelling, Testing & Risk Mitigation

Identify and assess AI-specific threats including prompt injection, jailbreaks, insecure tool use, data leakage, model extraction, poisoning, RAG abuse, agent misuse, and AI supply chain exposure.

Conduct AI threat modelling, adversarial testing, attack surface reviews, control gap analysis, residual risk documentation, and mitigation planning across platforms such as DATALABS, AI Foundry, Azure Cognitive Services, Databricks, and Snowflake.

3. Secure AI Controls, Monitoring & Compliance Support

Define and review controls for model access, prompt and response handling, sensitive data protection, identity and access, secure APIs, logging, monitoring, abuse detection, and incident readiness for AI systems.

Use frameworks such as OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, Responsible AI, and EU AI Act expectations as supporting references for control alignment and audit readiness.

4. AI Security Governance, Enablement & Operational Excellence

Support AI cybersecurity standards, secure design patterns, assessment checklists, governance inputs, and awareness material while keeping the primary focus on practical security implementation.

Improve AI security metrics, risk visibility, control automation, and reusable security guidance in partnership with platform, cyber, architecture, and automation teams.

Required Skills-

Skill Area

Requirement

Experience

10+ years in cybersecurity, security architecture, application security, cloud security, AI/ML security, or enterprise security engineering.

AI Security

Strong hands-on experience securing AI, ML, GenAI, LLM applications, RAG pipelines, AI agents, model APIs, or enterprise AI platforms.

AI Threat Knowledge

Deep understanding of prompt injection, jailbreaks, insecure plugins/tools, model poisoning, data leakage, model exfiltration, RAG security, agent security, AI supply chain risk, AI red teaming, and misuse scenarios.

Frameworks & Standards

Working knowledge of OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, Responsible AI, and AI regulatory expectations to support control alignment and governance activities.

Security Assurance

Experience designing, validating, and operationalizing AI security controls, including secure architecture reviews, threat modelling, adversarial testing, remediation tracking, and risk acceptance support.

Enterprise Security

Strong knowledge of cloud security, application security, API security, data protection, IAM, logging, monitoring, security operations, and enterprise risk management as applied to AI systems.

Stakeholder Management

Ability to work with engineering and senior stakeholders, explain AI security risks clearly, and convert them into practical technical controls and mitigation actions.

Preferred Experience-

Experience with AI security engineering, AI red teaming, adversarial testing, model robustness evaluation, secure RAG design, agent security, or AI platform security in regulated environments.

Experience with enterprise AI platforms such as Azure OpenAI, Microsoft AI Foundry, Azure AI Services, Databricks, Snowflake, Microsoft Purview, or Microsoft security technologies.

Exposure to Responsible AI, model risk management, AI governance programs, Python scripting, automation, or relevant security certifications such as CISSP, CISA, CRISC, GIAC, CCSP, or ISO 27001.

Candidate Profile-

Hands-on AI security expert who can lead secure architecture reviews, threat modelling, control design, testing, and risk mitigation for enterprise AI systems.

Comfortable working across cybersecurity, platform engineering, cloud, data, AI, architecture, compliance, risk, automation, and business teams in a complex global environment.

Demonstrates ownership, clear communication, and the ability to improve AI security maturity while keeping governance practical, lightweight, and aligned to delivery needs.

Profile required

Key Responsibilities-

1. AI Security Engineering & Architecture

Design and validate security controls for AI platforms, GenAI applications, LLM integrations, RAG pipelines, AI agents, model endpoints, and AI-enabled workflows.

Partner with engineering, platform, cloud, data, application security, and architecture teams to embed AI security requirements into design, build, deployment, and operations.

2. AI Threat Modelling, Testing & Risk Mitigation

Identify and assess AI-specific threats including prompt injection, jailbreaks, insecure tool use, data leakage, model extraction, poisoning, RAG abuse, agent misuse, and AI supply chain exposure.

Conduct AI threat modelling, adversarial testing, attack surface reviews, control gap analysis, residual risk documentation, and mitigation planning across platforms such as DATALABS, AI Foundry, Azure Cognitive Services, Databricks, and Snowflake.

3. Secure AI Controls, Monitoring & Compliance Support

Define and review controls for model access, prompt and response handling, sensitive data protection, identity and access, secure APIs, logging, monitoring, abuse detection, and incident readiness for AI systems.

Use frameworks such as OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, Responsible AI, and EU AI Act expectations as supporting references for control alignment and audit readiness.

4. AI Security Governance, Enablement & Operational Excellence

Support AI cybersecurity standards, secure design patterns, assessment checklists, governance inputs, and awareness material while keeping the primary focus on practical security implementation.

Improve AI security metrics, risk visibility, control automation, and reusable security guidance in partnership with platform, cyber, architecture, and automation teams.

Why join us

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Business insight

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

Still hesitating?
You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.

We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

Diversity and Inclusion

We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents , regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.

Apply Now

Refine Your Search

machine learning engineer jobs in malur karnataka

Lead AI Security Engineer-IDP

Technical Architect - Corporate Domains

Lead Product Development AI Engineer

.Net Developer

Network Security Engineer

Lead Software Engineer - ML OPS Engineer

Subcontractor - AI OPS

Azure AI Co-Pilot Engineer

Business Analyst(Payments domain)

Sr. Network Security Engineer with Microsegmentation

Staff Engineer (Cloud Engineering)

Lead Software Engineer- AI Red Team

Technical Specialist-Python AI

Senior Product AI Data Engineer

Security Architect

Senior Product Development AI Engineer

Lead Software Engineering - Devops

Generative AI Engineer – GCP

Principal Software Engineer - AI Research & Development

Intern for Founder Office

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