
LLM/SecOps Engineer
14 hours ago
Job Title: LLM/SecOps Engineer
Location: Hybrid (with flexibility to commute to Chennai if required)
Duration: 6-month contract (extendable based on performance)
About the Role
We are seeking a skilled LLM/SecOps Engineer to join our team on a contractual basis. The ideal candidate will have strong expertise in Large Language Models (LLMs) along with Security Operations (SecOps) to design, build, and secure AI-driven solutions for enterprise-grade environments.
Key Responsibilities
Design, develop, and integrate LLM-based applications into enterprise workflows.
Implement SecOps best practices to ensure AI/ML pipelines and systems are secure and compliant.
Automate monitoring, anomaly detection, and incident response using AI/ML.
Collaborate with cross-functional teams (data scientists, DevOps, cloud engineers) to deliver secure and scalable solutions.
Ensure compliance with data security standards (GDPR, ISO, SOC2, etc.).
Perform vulnerability assessments, penetration testing, and risk mitigation.
Maintain documentation, processes, and playbooks for AI and security workflows.
Required Skills & Qualifications
8+ years of experience in AI/ML engineering and Security Operations.
Hands-on experience with LLMs (OpenAI, HuggingFace, LangChain, RAG pipelines).
Strong background in cloud platforms (AWS, Azure, GCP).
Proven knowledge in SIEM, SOAR tools (Splunk, ELK, Sentinel, Cortex, etc.).
Proficiency in Python, Go, or Bash for automation and integration.
Familiarity with MLOps & SecOps practices (Kubeflow, MLflow, Terraform, Ansible).
Strong understanding of Zero Trust security, IAM, and container security (Kubernetes, Docker).
Preferred Skills
Certifications such as CISSP, CISM, CKA, CKAD, or cloud security certifications.
Prior experience in AI security, adversarial ML, and secure LLM deployment.
Exposure to regulatory compliance in enterprise environments.
What We Offer
Opportunity to work on cutting-edge AI & Security initiatives.
Competitive contract with extension possibilities based on performance.
A collaborative and innovative culture with a focus on learning and growth.
Job Type: Contractual / Temporary
Contract length: 6 months
Work Location: Remote
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