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Senior AI / ML Engineer (Cloud, GenAI & Analytics)
ALL KNOWN SERVICES
US · On-site Contract Senior Today
About the role
Key Responsibilities
AI / ML & Generative AI (Primary)
- Design, develop, and deploy enterprise-grade AI/ML solutions including: Machine Learning, Deep Learning, NLP, LLMs, Generative AI
- Build and operationalize end-to-end ML pipelines including: Feature engineering, Model training, Deployment, Monitoring
- Design and optimize LLM architectures, including: Prompt engineering, Retrieval-Augmented Generation (RAG), AI workflow orchestration
- Lead AI experimentation, prototyping, and innovation initiatives to solve complex business problems.
- Implement MLOps, CI/CD, governance, observability, and AI security best practices.
- Translate AI capabilities into measurable business outcomes.
Data Engineering & Analytics (Secondary)
- Build scalable data pipelines supporting AI and analytics workloads.
- Design and manage Snowflake cloud data platforms.
- Develop ETL / ELT pipelines using: Azure Data Factory (ADF), Equivalent tools
- Create dashboards and analytical reporting using: Power BI, Tableau
- Ensure data quality, performance, and reliability across enterprise pipelines.
Must Haves
- Strong Python programming for AI/ML development and analytics.
- Hands-on expertise with: Machine Learning, Deep Learning, NLP, LLMs, Generative AI
- Proven experience delivering production-grade AI solutions.
- Strong experience with RAG architectures and prompt engineering.
- Experience with Snowflake and cloud data platforms.
- Experience with ADF or similar ETL/ELT tools.
- Strong knowledge of: CI/CD, DevOps, Cloud platforms (Azure preferred)
- Strong communication skills with the ability to explain technical solutions to business stakeholders.
- Lead-level ownership and architecture experience.
Nice to Have
- Experience with: MLOps, Model monitoring, Observability platforms
- Experience with: Vector databases, Embeddings, Semantic search
- Experience integrating LLMs with enterprise systems.
- Telecom or large-scale enterprise data experience.
- Experience working in Agile enterprise teams.
Skills
ADFAIAzureAzure Data FactoryCI/CDCloudData EngineeringDeep LearningDevOpsETLGenerative AILLMMachine LearningMLOpsNLPObservabilityPower BIPythonRAGSnowflakeTableau
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