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AI/ML Ops Architect

Northern Base

 

Atlanta, GA, USA

Posted On: 7 days ago
Experience: 10+ years
Availability: Hybrid
Openings: 1
Category: AI/ML Architect
Tenure: Contract - Corp-to-Corp
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Description

Technical Skills - 

  • Programming Languages: Python, Java 
  • Agentic AI : Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK 
  • Tool Integration: Gemini Tools, Custom MCP tools
  • Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML. 
  • Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP). 
  • Cloud Platforms: Google Cloud Platform (GCP), Vertex AI and Kubeflow
  • Data Engineering: Proficiency in data preprocessing and feature engineering. 
  • Version Control: Experience with GitHub for version control. 
  • Data Science Practices: Skills in building models, testing/validation, and deployment. 
  • Databases: DB2, Oracle, BigQuery, BigData, Cassandra, PostGRES
  • Collaboration: Experience working in an Agile framework. 
  • RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search. 
  • Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT

Functional Skills - 

  • Experience working with customers in Retail Domain
  • Knowledge in Retail Pricing functionalities is a plus

Roles & Responsibilities

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

Education

Bachelor's degree

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