New!
Staff Operational Support Engineer Avispa Technology
Atlanta, GA1 day ago
- $70 Per Hour
- Temporary
- Contractor
- Full-time
Highlights
Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP). Provides management with timely communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives.
Numbers & Facts
| Location | Atlanta, GA (Remote) |
Description
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 (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
- 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).
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