ML Ops Technical Architect

• Agentic AI :
  Google ADK, A2A, Lang Chain/Lang Graph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
• Machine Learning Frameworks:
  Experience with Tensor Flow, 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 Git Hub for version control.
• Data Science Practices:
  Skills in building models, testing/validation, and deployment.
• 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

• Experience working with customers in Retail Domain
• Knowledge in Retail Pricing functionalities is a plus
• 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, Dev Ops, 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).

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $130,000-$150,000 a year

Location: Atlanta, GA

Job Function: TECHNOLOGY

Role: Technical Architect

Job : 414147

Desired Skills