Hebbal Bengaluru Karnataka Analyst endpoint management Jobs – 112 Open Jobs Today

AI Research Engineer - Applied AI
PlexTrac —Bengaluru, Karnataka
- Remote
- Azure
- Master's degree
- AWS
Quick apply
Sr Subject Matter Expert (Support&Ops)
HCLTech —Bengaluru, Karnataka
- Azure
- Computer Science
- AWS
4h
Cybersecurity
Black Box —Bengaluru, Karnataka
- Full-time
- Computer Science
- English
- Analysis skills
Quick apply
Senior Specialist- Threat Hunter
SISA —Bengaluru, Karnataka
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
Infra. Technology Specialist
Cognizant —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Software troubleshooting
- Analysis skills
Information Security Advisor
LevelBlue LLC —Bengaluru, Karnataka
- Full-time
- Azure
- Customer service
- Windows
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SOC Manager
SISA —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- AWS
Senior Devops Engineer
Kāladi Consulting —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Sr. Microsoft Purview Engineer
Whitefield Careers Private Limited —Bangalore City, Bengaluru, Karnataka
- ₹15,00,000 - ₹18,00,000 a year
- Full-time
- Analysis skills
- In-person
- Communication skills
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14d
Manager - Cyber Security
Microland —Bengaluru, Karnataka
- Microsoft Office
- Leadership
Senior_ETL_Cloud_Engineer
Solventum —Bengaluru, Karnataka
- Full-time
- Computer Science
- 12th Pass
- SQL
Vapt Engineer
Persistent —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Software troubleshooting
- APIs
- Communication skills
- Flexible schedule
SOC L2
Procain Consulting & Services —Bengaluru, Karnataka
- Analysis skills
- Bachelor's degree
- Communication skills
Staff MDR Investigator
SentinelOne —Bengaluru, Karnataka
- Remote
- Research
- Windows
- Linux
- Health insurance
- Food provided
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6d
Senior SOC Lead
Infinite Computer Solutions Ltd. —Bengaluru, Karnataka
- Computer science
- APIs
- Communication skills
6d
Senior Manager -Security Operations Center (SOC)
Grant Thornton INDUS —Bengaluru, Karnataka
Microsoft Security Architect-Freelancing
INOPTRA DIGITAL —Bengaluru, Karnataka
- Full-time
- Remote
- Microsoft Access
- Azure
- Presentation skills
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Sr. Consultant - Azure Cloud Security Engineer
Yash Technologies —Bengaluru, Karnataka
- Azure
- Microsoft Office
- Business development
Senior Cloud Security Engineer
Pegasystems —Bengaluru, Karnataka
- Computer Science
- DevOps
- Master's degree
Sr. AI Engineer-Promo Optimisation
Target —Bengaluru, Karnataka
- Full-time
- Computer Science
- DevOps
- Merchandising

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AI Research Engineer - Applied AI

PlexTrac
Bengaluru, Karnataka

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Job details

Qualifications

TensorFlow
Performance tuning
Azure
Law
FedRAMP
MCP
Kubernetes
PyTorch
Software deployment
Master's degree
AWS
Docker
Machine learning
FIPS
Natural language processing
APIs
ISO 27001
SIEM
AI
Python

Full job description

About PlexTrac

PlexTrac is a cybersecurity agentic company helping security teams automate red teaming, pentest reporting, exposure management, and remediation workflows. Our platform is used by penetration testers, red teams, consultants, enterprises, and managed security providers to operationalize security findings and improve collaboration across technical and executive stakeholders.

We are a remote-first company headquartered in the United States with distributed team members across North America, Europe, and Asia. We are committed to ownership, transparency, practical problem-solving, and building products that customers genuinely rely on.

Why This Role Matters

We are looking for an AI Research Engineer - Applied AI to build and ship the AI systems at the core of our security product. You will work across the full model lifecycle — from data pipelines and model training to deployment and production monitoring. You'll be at the forefront of our Agentic AI Offensive Security & Exposure Management Platform.

If you're into building cutting edge solutions that have a real impact on organizations' cybersecurity and enjoy working in a collaborative, cross functional start up environment, apply today!

Location: Remote — India only.

Responsibilities

Build, train, and evaluate machine learning models that detect security threats and unusual system behavior
Develop and maintain production AI features: prompt orchestration, retrieval-augmented generation (RAG), model serving, and observability
Work with raw security data — logs, network traffic, event streams — to build reliable training datasets
Build and maintain automated pipelines for model performance reporting and operational workflows
Design and maintain data ingestion and transformation services used by downstream AI systems
Monitor models in production, identify performance issues, and ship fixes
Test models for accuracy, bias, and reliability before they reach production
Work closely with security analysts to understand detection requirements and translate them into model improvements
Write clean, documented code that other engineers can read and use as a basis for implementation
Contribute to engineering standards for how the team develops and deploys models
Designing distributed training environments, optimizing computational efficiency, and managing GPU clusters.
Fine-tuning & Evaluation - Working with large language models (LLMs) and deep learning models using techniques like Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF).
Model Safety & Alignment - Testing for vulnerabilities, mitigating biases, and ensuring models behave safely and predictably.

Qualifications

3+ years of software engineering experience with a focus on machine learning in production environments
Hands-on experience building and shipping ML models — not just training, but deploying and maintaining them
Strong Python skills and working knowledge of common ML libraries (scikit-learn, PyTorch, or TensorFlow)
Experience working with large, messy datasets — cleaning, labeling, and structuring data for model training
Familiarity with MLOps basics: versioning, monitoring, and retraining models in production
Ability to evaluate model performance clearly and explain trade-offs to non-technical teammates
Working knowledge of backend systems and API design

Nice to Have

Experience with security data — logs, SIEM output, network traffic, or endpoint telemetry
Background in anomaly detection, classification, or NLP applied to security use cases
Hands-on experience with LLM/RAG systems — performance tuning and reliability
Exposure to compliance-sensitive environments (SOC 2, ISO 27001, FIPS, or FedRAMP)
Familiarity with responsible AI practices — bias auditing, explainability, and model documentation
Experience with Docker or Kubernetes for model deployment
Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML)
Knowledge of data privacy regulations (GDPR, CCPA) and their impact on model training
Experience with Model Context Protocol (MCP) — building or integrating MCP servers and clients

Tools & Technical Environment

Modern AI engineering, cloud and hosted deployment environments, enterprise security workflows, scalable data systems, and modern SaaS infrastructure.

Work Style

We operate as a remote-first, distributed team with a strong asynchronous culture. We value thoughtful communication, autonomy, and collaboration, with core working hours that partially overlap with U.S. Eastern Time.

AI-assisted applications are welcome. We use AI every day and expect many candidates do too. Use whatever tools help you communicate your experience effectively but make sure everything you submit is accurate and genuinely reflects your background. If your application overstates or fabricates qualifications, we'll end the process immediately.

Employees are administered through our EOR partner: Remote.

We’re committed to building an inclusive workplace where people from all backgrounds can thrive. We welcome applicants regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or background.

If you require accommodations during the interview process, please let us know: [email protected]

#LI-Remote

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analyst endpoint management jobs in hebbal bengaluru karnataka

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