ML Architect

**Job Summary:**
We are looking for an experienced **ML Architect** to design, build, and lead scalable, production-ready machine learning solutions.

**Key Responsibilities:**
Design scalable ML architectures and solutions
Lead ML model development and production deployment
Work with supervised, unsupervised, and deep learning techniques
Build ML pipelines for data preparation, training, validation, and deployment
Implement MLOps practices for model lifecycle management
Optimize model performance, scalability, and reliability
Integrate ML models with APIs and enterprise applications
Collaborate with Data Scientists, Data Engineers, Software Engineers, and business teams
Establish best practices for monitoring, governance, security, and versioning
Support cloud-based ML solutions and CI/CD pipelines

**Required Skills:**
Machine Learning & ML Architecture
Python, Scikit-learn, TensorFlow / PyTorch
ML Pipelines & MLOps
AWS, Azure, or Google Cloud Platform
Docker, Kubernetes, CI/CD, Git
Model Deployment, Monitoring & Optimization
SQL, Data Engineering & Distributed Systems
Strong Architecture, Problem-Solving & Communication Skills