AI Architect

Role

AI Architect

Skills

AI/ML Models and Algorithms and Expertise in Data Architecture

Experience: 12+ years

Location

Chicago, Illinois, USA

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We at Coforge are hiring an AI Architect with following skill-set:

Key Responsibilities:

• Lead the design and implementation of end-to-end AI systems. Take foundational models from existing platforms and fine-tune them with data to achieve specific outcomes.
• Lead the implementation of best practices for deploying and serving various types of AI models. Provide expertise in ML practices, CI/CD pipelines, and infrastructure to automate the deployment, versioning, and lifecycle management.
• Architect and deploy AI solutions on AWS and other major cloud platforms, with a hands-on emphasis on using cloud-native services for computation, storage, and networking.
• Utilize exceptional proficiency in Python and other relevant languages to build high-performance, production-ready AI services and tools.
• Performance Tuning: Design and implement monitoring and alerting solutions to evaluate model performance, data drift, and system health in production.
• Lead and mentor a team of engineers, guiding architectural decisions, ensuring code quality through rigorous code reviews, and establishing best practices for development.

Required Skills & Expertise:

• Proven experience in developing data and services in an enterprise and/or cloud environment.
• Good experience with GenAI.
• Lead the Architecture and Design.
• Translate Business Needs/ QE needs into AI Solutions.
• Design and Implement AI/ML Models and Algorithms.
• Expertise in Data Architecture.
• Deep understanding of AI systems, model governance, and risk frameworks.
• Proficiency in relevant technologies and languages such as Databricks, Azure data services, Oracle, Postgres, SQL Server, SQL, Java, Python, Scala.
• Strong working knowledge of data engineering technologies, data modelling tools, and ETL strategies. xhyhwjd
• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.