AI/ML Ops Architect

Technical Skills -

Programming Languages: Python, Java

Agentic AI : Google ADK, A2A, Lang Chain/Lang Graph, Crew AI, 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, Big Query, 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).