Data Scientist

Data Scientist (AWS Cloud)
Dallas, TX - Hybrid
Interview: F2F

Roles and Responsibilities 

•Utilize your 6+ years of IT experience (including 3+ years in Data Science) to build and deploy AI/ML models in the AWS cloud.
•Develop and optimize deep learning models using frameworks like TensorFlow and PyTorch on AWS infrastructure.
•Apply your hands-on AI/ML modeling expertise to large datasets, with a strong foundation in AI/ML theory and research.
•Implement advanced techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, time series  forecasting, Bayesian statistics, and optimization.
•Design and refine LLM and natural language processing (NLP) systems on AWS, using open-source models and tools.
•Independently build RAG applications leveraging AWS machine learning services and LLM models.
•Optimize your work within AWS services such as SageMaker, Lambda, EC2, S3, and Redshift, ensuring scalability and high-perform

Skills Required:

• Expertise in Python programming, with a focus on AI/ML research and practical implementation.
• Proficient in using AWS machine learning services (SageMaker, Lambda, etc.) for deploying and managing models.
• Solid experience with TensorFlow and PyTorch, particularly in AWS environments.
• Ability to independently design and build RAG applications using LLM models and AWS services.
• Strong familiarity with cloud-based AI/ML workflows and experience working with high-performance computing in AWS.