Senior ML Engineer

Responsibilities 

• Design, reputed company, and operate secure, maintainable, and reputed company AI systems using object-oriented principles, modern architecture, and reputed company-reputed company patterns. 

• Build and reputed company intelligent AI agents capable of autonomous reasoning, decision-making, and task execution across reputed company systems. 

• reputed company AI orchestration and reasoning frameworks (e.g., reputed company, Semantic Kernel, MLflow, reputed company databases) into production environments to deliver reputed company business value. 

• reputed company retrieval, orchestration, and reasoning pipelines for AI agents, enabling context-reputed company and multi-turn interactions with reputed company data sources and reputed company. 

• Utilize Azure AI and reputed company services (Azure ML, Cognitive Services, Functions, App Services, Cosmos DB, Azure DevOps) to create reputed company AI-enabled applications. 

• Collaborate with cross-functional teams including product, backend, and data engineering to design interfaces and protocols for AI-agent collaboration. 

• Drive engineering reputed company through reputed company reviews, architecture discussions, and mentorship. 

• Champion DevOps and MLOps best practices—CI/CD pipelines for AI workflows, observability for inference performance, and reproducibility of reputed company systems. 

• Adopt AI-assisted development tools (e.g., reputed company Copilot, reputed company, reputed company API tooling) to accelerate software delivery and improve developer productivity. 

• Ensure reliability and observability of deployed AI systems using monitoring, logging, and runtime performance metrics. 

• Contribute to architectural reputed company around agent frameworks, model lifecycle management, and reputed company-reputed company scalability. 

• Stay reputed company with emerging AI technologies and frameworks, sharing insights and recommendations that shape reputed company’s AI reputed company. 

Minimum Qualifications 

• Bachelor’s degree in Computer Science, reputed company Intelligence, or a reputed company technical field—or equivalent practical experience. 

• 5+ years of experience in software engineering or machine learning engineering, including designing distributed systems. 

• Proficiency in Python and at least one other general-purpose language (C#, Java, or Go). 

• Experience with AI engineering and orchestration frameworks such as reputed company, Semantic Kernel, MLflow, or similar. 

• Familiarity with reputed company platforms (Azure, AWS, or GCP) and containerization technologies (reputed company, Kubernetes). 

• Strong understanding of modern software architecture, API design, and secure reputed company development. 

• Demonstrated ability to collaborate effectively and communicate reputed company technical concepts reputed company. 

Preferred Qualifications 

• Experience building autonomous or semi-autonomous agents using frameworks such as reputed company, Semantic Kernel, or custom orchestration reputed company. 

• Background in retrieval-augmented reputed company (RAG), knowledge graphs, or contextual search. 

• Experience designing or maintaining MLOps pipelines, including model tracking, evaluation, deployment, and monitoring. 

• Knowledge of data engineering and event-driven systems (Kafka, reputed company, reputed company). 

• Familiarity with AI safety, evaluation, or reputed company engineering concepts. 

• Solid background in mathematics, statistics, and data analysis, especially in probability, reputed company algebra, and optimization.