Deep Learning Engineer
📍
San Jose, CA
🧪
Mid-Senior level
Role: AI/ML with Generative AI
Location: Malvern, PA/ Charlotte, NC- HYBRID
Duration : Long Term Contact
Core skills:
- Strong Python skills including libraries like LangChain, LangIndex, PyTorch, SageMaker SDK, psycopg2
- Experience with Docker and AWS ECR
- Strong AWS experience with with the following services:
- Bedrock
- SageMaker
- IAM
- Glue
- S3
- Lambda
- CodeCommit and CodePipeline
- Experience creating quick apps using Streamlit, NodeJS, or some other app framework
- Education and or experience in developing NLP models for text classification, completion, summarization, generation
- Experience using embeddings models to create vector embeddings and working with vector databases
- Understanding of RAG architecture, retrieval optimization, and tradeoffs of splitting methods
- Familiarity with benchmarks for model evaluation and methods of determining vector similarity
- Experience with scaling ML training workloads using distributed training techniques on GPU and/or developing microservices for AI/ML/GenAI products
- Data Preprocessing and Analysis: Work with large-scale datasets, preprocess the data, and perform in-depth analysis to derive meaningful insights, patterns, and trends for AI model training.
Preferred candidates will have:
- Real world experience fine-tuning models, methods of fine-tuning, and data preprocessing for fine-tuning
- AWS Solutions Architect and or AWS Machine Learning Specialty certifications