ML Architect
100% Remote
Job Summary:We are looking for an experienced Machine Learning Architect to design and lead the development of scalable, reliable, and high-performance ML systems. The ideal candidate will define ML architecture, guide technical strategy, and collaborate with data science, engineering, and business teams to deliver production-ready AI/ML solutions.
Key Responsibilities:
Design end-to-end machine learning architecture and solutions
Define best practices for model development, deployment, and monitoring
Lead technical decisions related to ML frameworks, tools, and infrastructure
Collaborate with stakeholders to translate business needs into ML systems
Ensure scalability, performance, security, and maintainability of ML platforms
Guide ML Engineers and Data Scientists on system design and implementation
Oversee model lifecycle management, MLOps, and CI/CD pipelines
Evaluate and adopt new ML technologies and methodologies
Required Skills & Qualifications:
Strong expertise in machine learning, AI, and statistical modeling
Proficiency in Python and ML frameworks (TensorFlow, PyTorch, etc.)
Experience designing and deploying ML systems at scale
Deep understanding of MLOps, model deployment, and monitoring
Experience with cloud platforms (AWS / Azure / GCP)
Knowledge of data engineering and distributed systems
Strong system design and architectural skills
Excellent problem-solving and leadership abilities
Preferred Qualifications:
Experience with deep learning, NLP, or computer vision solutions
Familiarity with microservices and containerization (Docker, Kubernetes)
Experience in high-scale or enterprise ML environments