Data Scientist AWS Cloud
3 days ago
- LONGTERM
- HYBRID
- SKILL development
- Opportunity for advancement
Data Scientist (AWS Cloud)
Location: Dallas, TX (Hybrid 3 days a week in the office)
Interview Process: Virtual Technical Screening followed by In-Person Interview
Are you an innovative Data Scientist with a passion for harnessing the power of AI/ML and cloud technologies?
Join our dynamic team, where youll solve real-world challenges using cutting-edge tools and AWS cloud services.
If you thrive on creating advanced AI/ML solutions and working in a collaborative, tech-forward environment, this opportunity is perfect for you
Roles & Responsbilities:
- Leverage 10+ years of IT experience (including 5+ years in Data Science) to design and deploy AI/ML models in AWS cloud environments.
- Build and optimize deep learning models using frameworks like TensorFlow and PyTorch on AWS infrastructure.
- Apply advanced AI/ML techniques to large datasets, grounded in strong theoretical and practical expertise.
- Implement cutting-edge methods, including:
- Supervised and Unsupervised Learning
- Deep Learning and Reinforcement Learning
- Time Series Forecasting
- Bayesian Statistics and Optimization
- Develop and refine Large Language Models (LLMs) and Natural Language Processing (NLP) systems using open-source tools on AWS.
- Independently design and build RAG (Retrieval-Augmented Generation) applications with AWS machine learning services and LLM models.
- Work with AWS services like SageMaker, Lambda, EC2, S3, and Redshift to ensure scalable, high-performance AI/ML solutions.
Qualifications:
- Expert-level Python programming skills focused on AI/ML research and deployment.
- Proven experience with AWS machine learning services, including SageMaker, Lambda, and more.
- Hands-on expertise with TensorFlow and PyTorch in AWS-based workflows.
- The ability to independently design and deploy RAG applications using LLM models within AWS ecosystems.
- Strong understanding of cloud-based AI/ML workflows and experience with high-performance computing in AWS environments.
Flexible work from home options available.
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