AI Engineer

• Serve as a primary technical consultant, leading and executing end-to-end AI/ML project implementations directly with clients
• Translate complex business problems into robust technical solutions
• Articulate technical findings, proposals, and project status to technical and non-technical audiences
• Design, build, and maintain production-grade AI and ML pipelines with CI/CD and advanced MLOps/AIOps practices
• Implement and optimize Generative and Agentic AI applications, including multi-agent orchestration, agent evaluation, and Retrieval Augmented Generation (RAG) systems
• Architect end-to-end traditional Machine Learning and Generative AI solutions based on customer requirements
• Manage infrastructure for production deployment using Docker, pipeline orchestrators, and lakehouse database systems such as Databricks
• Leverage distributed computing frameworks such as Apache Spark for scalable machine learning and high-performance data processing
• Contribute to the strategic growth of the AI FDE Practice through technical assignments and knowledge transfer
• Document and report client engagements and training activities via designated partner platforms

Explore Lead Machine Learning/AI Engineer at MUTT DATA. Review requirements and application details.

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