Skip to content
mimi

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

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free