AI / Machine Learning Consultant
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Job Description
Agentic AI/Machine Learning Consultant delivering ML/AI solutions for clients using AWS and GCP services. Collaborating with teams and mentoring while focusing on customer success.
Responsibilities:
- Deliver end-to-end ML/AI solutions from problem framing through deployment and monitoring
- Design scalable AI/ML architectures using AWS and GCP services
- Optimize RAG pipelines including chunking, embeddings, hybrid search, and re-ranking
- Develop retrieval evaluation frameworks (Recall@K, Precision@K, MRR, nDCG)
- Design and implement knowledge graphs and ontologies
- Build data ingestion pipelines for structured and unstructured data
- Deploy solutions using AWS tools such as SageMaker, Bedrock, Lambda, and OpenSearch
- Implement self-hosted embedding models in secure environments
- Ensure compliance with PHI/PII data security requirements
- Collaborate with cross-functional teams and act as a technical advisor
- Mentor team members and contribute to technical thought leadership
Requirements:
- Experience building and deploying ML/AI solutions in AWS, GCP, or Azure
- Strong expertise in RAG systems and retrieval optimization
- Experience with vector databases and hybrid search techniques
- Knowledge of knowledge graph design and entity resolution
- Proficiency in Python (R is a plus)
- Experience with LLM platforms such as OpenAI, Anthropic, or Gemini
Benefits:
- Teamwork
- Automation
- Continuous learning
- Ownership
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