AI/ ML Solution Architect

About the Opportunity
A fast-scaling AI/ML solutions firm empowering enterprises across India and global markets with scalable, production-grade artificial intelligence architectures. We build and deploy end-to-end machine learning systems - from data ingestion and model training to MLOps, inference serving, and real-time decision engines - for clients in fintech, healthcare, logistics, and SaaS. Our architects don t just design - they own outcomes, ensuring ML systems are secure, auditable, and engineered for ROI. Role Responsibilities

• Architect scalable, cloud-native ML systems on AWS/Azure/GCP - from data pipelines to model serving, monitoring, and CI/CD for ML models.
• Lead cross-functional teams to translate business problems into ML solutions - defining feature engineering, model selection, evaluation metrics, and deployment strategy.
• Design MLOps frameworks using tools like MLflow, Kubeflow, SageMaker, or Vertex AI to automate training, versioning, and deployment of models.
• Ensure compliance with data governance, model explainability (XAI), and regulatory standards - especially in highly regulated sectors like BFSI and healthcare.
• Optimize model performance, latency, and cost at scale - including edge deployment, model quantization, and A/B testing strategies.
• Mentor data scientists and ML engineers on architecture best practices, infrastructure-as-code, and performance tuning.

Skills Qualifications
Must-Have

• AWS SageMaker
• MLflow
• Kubeflow
• TensorFlow
• PyTorch
• CI/CD for ML
• Model Monitoring
• Feature Stores

Preferred

• Vertex AI
• Model explainability tools (SHAP, LIME)
• Edge AI deployment (TensorFlow Lite, ONNX Runtime)

Benefits Culture Highlights

• 100% remote - work from anywhere in India with flexible hours and zero commute.
• Ownership culture - lead high-impact AI projects from concept to production with executive visibility.
• Continuous learning - annual stipend for certifications, tools, and conferences (AWS/Azure ML certs, MLOps workshops).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.