Description

Define and design AI-driven solution architectures that align with business objectives and enterprise constraints.

This role is remote.

Responsibilities

• Lead end-to-end AI solution delivery, including data ingestion, model development, validation, deployment, and monitoring.
• Design scalable AI/ML pipelines using ETL and big data technologies such as Spark and Hadoop.
• Architect integration patterns for AI models using APIs and microservices to embed AI into enterprise systems.
• Ensure production readiness through MLOps best practices including CI/CD, model versioning, lifecycle management, and performance optimization.

Required Skills

• 10+ years of experience in AI/ML solution architecture, MLOps, and production deployment.
• Strong expertise in AI/ML concepts including supervised, unsupervised, deep learning, NLP, and generative AI.
• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Proficiency in Python, R, or Java for building and operationalizing AI solutions.
• Experience with cloud platforms (Azure, AWS, GCP) and production integration using APIs and microservices.
• Experience with BI/visualization tools such as Power BI and Tableau.

Preferred Skills

• Stakeholder management, cross-functional team leadership, and strong communication to drive alignment across teams.
• Experience with project planning, estimation, delivery management, and risk management.

Key Skills

Education

Any Graduate