The Avian Consulting LLC

The Avian Consulting LLC

AI/ML Engineer

Atlanta, Georgia, USA · full-time

Sponsorship not specifiedDetected 40 days ago
PythonSQLNoSQLBigQuerySnowflakeRedshiftVector DatabasesAWSGCPCloud PlatformsDockerKubernetesCI/CDDevOpsKafkaMachine LearningTensorFlowPyTorchscikit-learnSparkData EngineeringData VisualizationLLMsRAG

About the role

  • Hi, Hope you are doing well. Position: AI/ML Engineer with Google Cloud Platform Location: Atlanta, GA (Hybrid) Job Description: Strategic & Architectural Leadership Define and evolve AI & Data architecture strategy and roadmap, aligned with business priorities and IT strategy. Serve as a thought leader for modern data, analytics, and AI architectures,
  • including Generative AI and Agentic AI. Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns. Partner with business and digital leaders to identify and prioritize high-impact AI and analytics use cases. Provide architectural guidance on ethical, responsible, and compliant AI adoption. Solution Architecture &

Requirements

  • 14+ years of hands-on experience in data architecture, analytics solutions, and/or cloud data platforms.
  • 3+ years of hands-on experience delivering AI/ML and Generative AI solutions in production.
  • 6+ years of experience designing and scaling enterprise data platforms on Google Cloud Platform, AWS, and Snowflake.

Nice to have

  • Master’s degree or Ph.D. preferred.
  • Demonstrated success leading large-scale, cross-functional data and AI initiatives.
  • Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker) AWS (S3, Glue, EMR, Redshift, SageMaker, Lambda) Snowflake (data warehouse, data sharing, performance optimization)
  • Architect modern enterprise data architectures, including:
  • Define and enforce data quality, metadata, lineage, and access control standards.
  • Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics.
  • Define approaches for model observability, explainability (XAI), bias detection, and risk mitigation.
  • Technical Leadership & Collaboration Provide technical leadership and mentorship to solution architects, data engineers, data scientists, and AI engineers.

Skills

  • Serve as a thought leader for modern data, analytics, and AI architectures, including Generative AI and Agentic AI.
  • Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns.
  • Provide architectural guidance on ethical, responsible, and compliant AI adoption.
  • TensorFlow, PyTorch, scikit-learn, XGBoost GenAI/LLM frameworks, vector databases, and graph databases
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