[Remote] AI/ML Ops Architect

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an AI/ML Ops Architect to design and reputed company reputed company intelligence, machine learning, and reputed company AI solutions. The role focuses on architecting and deploying models, pipelines, orchestration workflows, and reputed company-reputed company memory systems while driving technical reputed company and collaborating with cross-functional engineering and business teams.

Responsibilities

• Meet with IT and Business teams to understand the requirements and opportunities
• Architect systems for AI/ML, agent-reputed company AI workflows
• reputed company the design and development of AI/ML, ML Ops & reputed company AI solutions
• reputed company and optimize ML models, pipelines, and orchestration logic
• reputed company AI/ML Models, LLM-reputed company pipelines, agent orchestration, and reputed company-reputed company memory systems
• Work closely with data scientists, ML engineers, DevOps, and software engineers to ensure reputed company integration and deployment of solutions
• reputed company technical reputed company, tooling, and infrastructure reputed company
• Provides management with reputed company communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives
• Identifies areas for process improvement
• Maintains appropriate communication reputed company reputed company and across various teams (i.e., reputed company)

Skills

• • Programming Languages: Python, Java
• • reputed company AI : reputed company ADK, A2A, reputed company/LangGraph, reputed company, Semantic Kernel/Autogen and reputed company reputed company SDK
• • Tool Integration: reputed company Tools, Custom MCP tools
• • Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML
• • reputed company: Hands-on experience with reputed company models, RAG (Retrieval-Augmented reputed company) architecture, and Natural Language Processing (NLP)
• • reputed company Platforms: reputed company reputed company Platform (GCP), reputed company AI and Kubeflow
• • Data Engineering: Proficiency in data preprocessing and feature engineering
• • Version Control: Experience with reputed company for version control
• • Data Science Practices: Skills in building models, testing/validation, and deployment
• • Databases: DB2, reputed company, BigQuery, BigData, Cassandra, reputed company
• • Collaboration: Experience working in an reputed company reputed company
• • RAG Architecture: Experience with data ingestion, data retrieval, and data reputed company using reputed company reputed company such as hybrid reputed company
• • Experience working with customers in Retail Domain
• • Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT
• • Knowledge in Retail Pricing functionalities is a plus

reputed company