Data Scientist AWS Cloud
Full Time • Hybrid - US
Replies within 24 hours
Benefits:
- LONGTERM
- HYBRID
- SKILL development
- Opportunity for advancement
Job Title: Data Scientist – AWS Cloud
Location: Dallas, TX (Hybrid – 3 days onsite per week)
Interview Process: Virtual Tech Screen → In-Person Interview
Join Us in Building the Future of AI in the Cloud
Are you a data science enthusiast who thrives at the intersection of machine learning, cloud innovation, and real-world impact? We’re seeking a Data Scientist with deep AWS cloud experience to develop and deploy cutting-edge AI/ML solutions at scale.
You’ll be part of a forward-thinking team focused on solving complex challenges using advanced models, large datasets, and cloud-native tools. If you’re passionate about pushing the boundaries of what’s possible with AI on AWS—this is your opportunity.
Roles & Responsibilities:
Location: Dallas, TX (Hybrid – 3 days onsite per week)
Interview Process: Virtual Tech Screen → In-Person Interview
Join Us in Building the Future of AI in the Cloud
Are you a data science enthusiast who thrives at the intersection of machine learning, cloud innovation, and real-world impact? We’re seeking a Data Scientist with deep AWS cloud experience to develop and deploy cutting-edge AI/ML solutions at scale.
You’ll be part of a forward-thinking team focused on solving complex challenges using advanced models, large datasets, and cloud-native tools. If you’re passionate about pushing the boundaries of what’s possible with AI on AWS—this is your opportunity.
Roles & Responsibilities:
- Design & Deploy AI/ML Models: Leverage your 6+ years in IT (including 3+ years in data science) to create robust AI/ML solutions using AWS tools.
- Model Development: Build, train, and fine-tune deep learning models with TensorFlow and PyTorch on scalable AWS infrastructure.
- Data at Scale: Apply your modeling expertise to large, complex datasets with a solid foundation in ML theory and statistical research.
- Advanced Techniques: Utilize methods such as supervised/unsupervised learning, reinforcement learning, time series forecasting, Bayesian inference, and optimization.
- NLP & LLMs: Build and enhance large language model (LLM) and NLP applications using open-source models and AWS-native tools.
- RAG Applications: Independently design Retrieval-Augmented Generation (RAG) applications using AWS services and LLMs.
- AWS Optimization: Ensure scalability, efficiency, and performance using AWS tools like SageMaker, Lambda, EC2, S3, and Redshift.
Qualifications:
- Python Proficiency: Strong Python skills with a focus on AI/ML development and implementation.AWS ML Tools: Hands-on experience with AWS services such as SageMaker, Lambda, EC2, and others relevant to AI/ML pipelines.
- Deep Learning Expertise: Proven work with TensorFlow and PyTorch, especially in cloud environments.
- LLM & RAG Experience: Ability to independently develop applications using LLMs and RAG frameworks within AWS.
- Cloud-Native Thinking: Familiarity with end-to-end AI/ML workflows in a cloud-first environment, including performance optimization
..aaaa
Flexible work from home options available.
Compensation: $65.00 - $85.00 per hour
About Us
We work to deliver profitability in your business – with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.
(if you already have a resume on Indeed)