Description

Key Skills: AWS, AI/ML, Azure, GCP, Python, MLOps, Tensorflow, Agentic AI, Cross-Functional Team Leadership, Architect, Risk Management, Stakeholder Management, Project Planning, Enterprise AI architect

Roles and Responsibilities:

• Define and design AI-driven solution architectures aligned with business objectives and enterprise constraints.
• 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.

Skills Required:

• 10-12 years of relevant 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 and libraries 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; plus BI/visualization using Power BI and Tableau.

Good to Have:

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

Education: Master's in Computer Science or PhD in AI/ML

Key Skills

Education

Any Graduate