Job Description
Key ResponsiKey Responsibilities
Hands-on experinece with Python and R for vulnerability remediation and automation
Proficiency with security scanning tools : Trivy, Synk, Prisma Cloud
Strong understanding of Docker, container security and AWS ECR
Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, AWS code pipeline etc.)
Knowledge of ML Ops workflows and deployment best practises
Understanding of cloud security principles, secure SDLC and remediation processesSupport continuous improvement by identifying and solving opportunities.
Bachelor's or Master's degree in Computer Science, Data Science, or related field.
3+ years of experience in MLOps, DevOps, or related roles.
Experience with cloud platforms (AWS, Azure, GCP).
Proficiency in containerization (Docker) and orchestration (Kubernetes).
Knowledge of CI/CD tools (e.g., Jenkins, GitHub Actions).
Familiarity with monitoring tools
Excellent Problem-solving And Communication SkillsPreferred Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, or related field
Python, R
SQL
Machine Learning
