Data Scientist (AWS Cloud)
Dallas, TX - Hybrid ( 3 days a week at office )
In-Person Interview ( after a Virtual Tech Screen Call )
Are you a data expert with a passion for AI/ML and cloud technologies? We are looking for a skilled Data Scientist to join our team and leverage the power of AWS cloud services to solve complex, real-world problems. If you excel in designing innovative AI/ML solutions within AWS environments, this role is tailored for you!
What You’ll Do:
•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
What We’re Looking For:
•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.