Benefits:

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 you’ll 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.