AI / ML Ops Architect

K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing technical resources in the Canada and the USA region since 1993.

This position is with one of our clients in USA, who is actively hiring candidates to expand their teams.

Role:-  AI / ML Ops Architect  

Location:- Atlanta, GA (Remote) 

Fulltime

Job Description

Must Have Technical/Functional Skills

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 (Google Cloud Platform), 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).