ccube.com is looking to transform businesses with innovative AI-powered solutions by harnessing the potential of Generative AI, Machine Learning, and AWS cloud services to deliver scalable, secure, and impactful applications
Requirements
- 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
- Experience with LangChain, Prompt Engineering, and RAG techniques
Responsibilities
- 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
Other
- 10-15 Years of experience
- Full Time Only (GC & USC Only)
- Location: Nashua, NH (Hybrid 3 Days a Week)
- Strong analytical and problem-solving skills with the ability to work in a fast-paced environment
- Opportunity to work on cutting-edge AI and Generative AI projects
