Data Scientist (AWS Cloud) || Dallas, TX
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Role :- Data Scientist (AWS Cloud)
Location :- Dallas, TX
Hybrid
F2F
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:
Location :- Dallas, TX
Hybrid
F2F
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 performance.
- 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.
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