Machine Learning with Devops Developer

10 hours ago


Bengaluru, Karnataka, India Phygital Insights Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Full time

|

Work From Office

This Position is Currently Open

Department / Category:

DEVELOPER

Listed on Sep 18, 2025

Work Location:

BANGALORE

Job Descritpion of Machine Learning with Devops Developer

6 to 8 Years Relevant Experience

About the Role

We're looking for an AI Security Engineer with hands-on expertise in AI/ML, cloud deployments, and security testing of Generative AI and LLM-powered solutions. This role is highly technical, research-driven, and will directly shape how we evaluate, validate, and secure emerging AI-driven cybersecurity tools.

Key Responsibilities

  • Identify, analyze, and benchmark Generative AI–augmented and LLM-based security solutions in the market.
  • Conduct proof-of-concept (PoC) assessments of cybersecurity capabilities to validate real-world effectiveness.
  • Define security control baselines and evaluation criteria for emerging risk-focused solutions.
  • Evaluate vendor claims, solution architectures, and scalability.
  • Perform security testing of GenAI-powered cybersecurity tools.
  • Publish detailed reports on security, compliance, and product efficacy.
  • Build and integrate AI robustness, vulnerability, and stress testing capabilities within MLOps ecosystems.
  • Assess and adapt open-source AI security libraries for enterprise-grade stress testing and audits.
  • Implement secure model development lifecycle practices, including automated white-box and black-box assessments.
  • Collaborate with application teams to ensure strong developer and customer experiences.
  • Uphold Blue Box values in all interactions with internal and external teams.

Essential Skills

Must Have:

  • Strong background in statistics, machine learning (DNN, NLP), big data, and data science toolkits.
  • Proven experience designing and operationalizing high-performance AI/ML pipelines and production code.
  • Experience deploying AI/ML models in public cloud environments.
  • Familiarity with open-source ML tools, frameworks, and libraries.
  • Proficiency in data science programming languages and toolkits.
  • Experience with MLOps, DevOps, DataOps, and API integrations.
  • Hands-on experience with AI workload management.
  • Strong cloud architecture, design, and operational knowledge.

Good to Have:

  • Knowledge of adversarial robustness techniques and AI risk management frameworks (e.g., Trustworthy AI).
  • Familiarity with application security controls (Web, API, Mobile, AI).
  • Understanding of security frameworks (NIST 800-53, CSF, OWASP ASVS).
  • Knowledge of Secure SDLC, DevSecOps, and application security design.
  • Experience with full-stack application architectures (SPAs, REST APIs, SOAP APIs, mobile).
  • Background in Java, JavaScript, and mobile application development.
  • Database expertise (Oracle, SQL, DB2, NoSQL).
  • Cloud security design and operations knowledge.
  • Exposure to IAM controls (OAuth 2.0, OIDC, JWT).
  • Strong familiarity with cryptography (data at rest, in motion).
  • Certifications: CISSP, CISM, CSSLP, CISA, CRISC.
  • Peer-reviewed publications, conference presentations, or open-source contributions.
Required Skills for Machine Learning with Devops Developer Job

Python

Amazon Web Service(AWS) Cloud Computing

Machine Learning

Artificial Intelligence(AI)

DevOps

Our Hiring Process
  • Screening (HR Round)
  • Technical Round 1
  • Technical Round 2
  • Final HR Round


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