Senior Software Engineer – ML Model Compliance & Automation Jobs

InfoObjects

Location:
India, Jaipur

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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

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Senior Software Engineer – ML Model Compliance & Automation