Role Category: Programming & Design
Role: Full Stack Java Developer
Job Location: Jaipur or Remote
Experience: Experience Required: 3 - 7 yrs
Employment Type: Full-time
Immediate joiner

About the Role

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.

Key Responsibilities

• 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.

• 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.

• 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.

• Languages: 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