Note: The job is a remote job and is open to candidates in USA. Ventures Unlimited Inc is seeking an AI/ML Ops Architect to design and lead artificial intelligence, machine learning, and agentic AI solutions. The role focuses on architecting and deploying models, pipelines, orchestration workflows, and vector-based memory systems while driving technical strategy 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-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)
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
- • 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
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