Ccube

Senior AI/ML Lead – AWS, Generative AI

Ccube

full-time

Posted on:

Location Type: Remote

Location: Remote • New Hampshire • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSCloudDynamoDBPythonPyTorchTensorflow

About the role

  • Design, develop, and deploy AI/ML models on AWS using SageMaker, Bedrock, and related services
  • Build LLM-based applications and fine-tune models for domain-specific use cases
  • Implement RAG (Retrieval-Augmented Generation) pipelines with vector databases such as OpenSearch, Pinecone, or FAISS
  • Develop production-ready ML pipelines leveraging AWS services including Lambda, Step Functions, S3, and DynamoDB
  • Integrate ML models into real-world applications in collaboration with cross-functional teams
  • Ensure AI solutions align with best practices in security, compliance, and cost optimization
  • Stay current with the latest advancements in Generative AI, prompt engineering, and model optimization

Requirements

  • 10-15 Years of experience
  • Strong expertise in AWS AI/ML stack: SageMaker, Lambda, Step Functions, S3, DynamoDB, etc.
  • Proven experience with Generative AI models (GPT, Claude, Mistral, LLaMA, etc.) and fine-tuning techniques
  • Hands-on programming experience with Python, TensorFlow, PyTorch, and Hugging Face
  • Knowledge of vector databases and embedding models
  • Experience in building secure, scalable AI solutions on AWS
  • Familiarity with MLOps practices, CI/CD pipelines, and cloud automation
  • Strong analytical and problem-solving skills with the ability to work in a fast-paced environment
  • Good to Have: Experience with LangChain, Prompt Engineering, and RAG techniques
  • Understanding of data governance, AI ethics, and responsible AI practices
  • AWS Certifications: Machine Learning Specialty / Associate or other relevant AI certifications
Benefits
  • Startup culture with opportunity to grow
  • Performance bonuses
  • Company stock options
  • Health, dental and vision insurance plans
  • Pursue growth and learning with career development expenses
  • Volunteer and support education for kids & skills development for adults

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI/ML modelsLLM-based applicationsRAG pipelinesvector databasesproduction-ready ML pipelinesGenerative AI modelsfine-tuning techniquesPythonTensorFlowPyTorch
Soft skills
analytical skillsproblem-solving skillscollaborationadaptability
Certifications
AWS Machine Learning SpecialtyAWS Machine Learning Associate
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