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AI Solutions ArchitectAI Solutions Architect
Atlas Energy Solutions
Austin, TX
Data science
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Solutions Architect
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Posted 5 days ago
Sr Backend DeveloperSr Backend Developer
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Posted 11 days ago
Data EngineerData Engineer
Atlas Energy Solutions
Austin, TX
Business Intelligence
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Python
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Azure
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Kafka
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Posted 13 days ago
Senior Machine Learning EngineerSenior Machine Learning Engineer
StockX
Bangalore, India
ML Engineer
Big Data Engineer
Tensorflow
PyTorch
Supervised Learning
Reinforcement Learning
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Full-stack
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Posted 20 days ago
Staff Data EngineerStaff Data Engineer
Afresh
Remote in US or Remote in Ontario, CAN
$16 - $148
ML Engineer
Big Data Engineer
Python
SQL
AI
Databricks
Posted 23 days ago
Create a DataCamp Course - Machine Learning / Data Engineering (Part-Time, Freelance)Create a DataCamp Course - Machine Learning / Data Engineering (Part-Time, Freelance)
DataCamp
Remote
Data science
ML Engineer
Java
Video
AI
Network
GitHub
Databricks
Posted 25 days ago
Published: 2025-03-28  •  Austin, TX
Tensorflow
AI
LLM
AWS
ML Engineer
Data science
PyTorch
GCP
Azure
Java
Python
Cloud
Developer
Solutions Architect
Databricks
On-site
Full-time

Who We Are

Headquartered in Austin, TX with operations in Kermit and Monahans, TX, Atlas Energy Solutions is the leading provider of high-quality frac sand and innovative logistics solutions to Exploration & Production operators and oil field service providers in the Permian Basin. We are proud of what we do – we have state of the art manufacturing facilities, premium offerings, outstanding customer service, and exceptional work culture and a commitment to giving back to the community.

We’re very excited about what we see in front of us, and we think you will be too – so come join our team and contribute   to our growth!

This role will be based onsite at our Headquarters in Austin, TX.

How You Will Make an Impact

As Atlas Energy Solutions’ AI Solutions Architect, you will design, implement, and optimize AI systems to solve business problems, acting as a bridge between AI technology and business needs, ensuring AI solutions are aligned with organizational goals. This is an opportunity to build your own AI practice from ground up.

Responsibilities:

  • Design and Implementation: Conceptualize, Develop and oversee the implementation of AI solutions that meet specific business requirements. Strong solution implementation experience (platform engineering, developer experience).
  • Strategic Alignment: Ensures AI initiatives are aligned with overall business strategy and objectives.
  • Technical Expertise: Possess a strong understanding of AI technologies, algorithms, and machine learning techniques, LLM, RAG, GenAI etc. Strong cloud architecture expertise (Azure, AWS, GCP) across large project with 2-3 years min. experience in doing cloud projects
  • Collaboration: Work closely with data engineers, software engineers, and other stakeholders to define project requirements and lead implementation. Demonstrated experience leading teams
  • Problem Solving: Identify and solve complex technical challenges related to AI development and deployment.
  • Scalability and Performance: Design AI solutions that are scalable, robust, and performant.
  • Security and Compliance: Ensure AI solutions are secure and compliant with relevant regulations and standards.
  • Continuous Improvement: Monitor and evaluate AI solutions to identify areas for improvement and optimization. Custom built vs off the shelf.
  • Documentation: Create and maintain robust technical documentation for AI solutions.

Skills:

  • Technical Skills: Strong understanding of AI algorithms, machine learning techniques, data science, and software engineering. Along with examples of leading LLMs, RAGs, GenAI and Agentic AI efforts.
  • Business Acumen: Ability to understand business needs and translate them into technical requirements.
  • Problem-Solving: Strong analytical and problem-solving skills.
  • Communication: Excellent communication and interpersonal skills to collaborate effectively with stakeholders.
  • Project Management: Ability to manage AI projects from inception to deployment.
  • Data Management: Understanding of data storage, processing, and management techniques.
  • Cloud Computing: Familiarity with cloud platforms and services.

Tools and Technologies:

  • Programming Languages: Python, R, Java, etc.
  • Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
  • Cloud Platforms: AWS, Azure, GCP, etc.
  • Data Management Tools: Hadoop, Spark, Databricks, etc.

What You’ll Love About Us

  • Best People and Team. Great Place to Work For, Hire Vets, Top Place to Work For – Austin American Statesman
  • Your Well-Being is a Priority. 100% covered Medical, Dental, and Vision
  • Invest in Your Future. 401K with company match, immediate vesting
  • Relax and Recharge. Paid time off and 15+ company paid holidays, half day every other Friday

__PRESENT

__PRESENT

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