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Senior Software Engineer – ML Model Compliance & Automation

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InfoObjects

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Location:
India, Jaipur

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are seeking a highly skilled and motivated Senior Software Engineer to lead the development and automation of ML model compliance validation workflows. This role focuses on packaging, profiling, optimization, and deployment of ML models across cloud-native environments. You will design and build tooling, pipelines, and automation frameworks to ensure models are production-ready, compliant, secure, and seamlessly integrated into CI/CD workflows. This is a hands-on role for an engineer passionate about bridging machine learning, DevOps, and security compliance.

Job Responsibility:

  • Model Packaging & Artifact Management: Design and implement workflows for packaging ML models using KitOps, ONNX, MLflow, or TensorFlow SavedModel
  • Manage model artifact versioning, registries, and reproducibility
  • Ensure artifact integrity, consistency, and traceability across CI/CD pipelines
  • Model Profiling & Optimization: Automate model profiling (latency, size, ops) using MLModelCI, TorchServe, or ONNX Runtime
  • Apply quantization, pruning, and format conversions (e.g., FP32→INT8) for optimization
  • Embed profiling and optimization checks into CI/CD pipelines to assess deployment readiness
  • Compliance & SBOM Generation: Develop pipelines to generate and validate SBOMs for ML models
  • Implement compliance checks for licensing, vulnerabilities, and security using CycloneDX, SPDX, Syft, or Trivy
  • Validate schema, dependencies, and runtime environments for production readiness
  • Cloud Integration & Deployment: Automate model registration, endpoint creation, and monitoring setup in AWS/GCP/Azure
  • Build cloud-native workflows using GitOps, ArgoCD, or KubeFlow for deployment and lifecycle management
  • Collaborate with ML engineers and DevOps teams to streamline secure model delivery

Requirements:

  • Experience Required: 3 - 7 yrs
  • GoLang (preferred)
  • Python (preferred)
  • Bash
  • MLOps Tools: KitOps, MLModelCI, MLflow, ONNX, TensorFlow, PyTorch, Docker
  • SBOM & Security: Syft, Grype, Trivy, CycloneDX, SPDX
  • CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD
  • Infra: Kubernetes, Docker, Helm, Terraform
  • Cloud: AWS, GCP, Azure (EKS/GKE/ECS preferred)
  • Version Control: Git, GitOps

Additional Information:

Job Posted:
December 09, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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