Job posted 5 days ago
Resource Logistics Inc. is hiring in Houston, TX
Artificial intelligence
Apply to this Contract Entry level position for Engineering and Information Technology at Resource Logistics Inc. in Houston, TX.
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About the job
Location: should he Houston, Texas . should work from KBR office.
Contract
Responsibilities
Job description
Define the overall AI strategy, aligning it with business goals and objectives.
Design and Clienthitect secure, high-performance AI infrastructure on cloud platforms or on-premises environments.
Select and implement appropriate AI frameworks and algorithms for specific business use cases.
Lead and collaborate with AI engineers and data scientists to develop, test, and deploy AI models.
Integrate AI solutions with existing systems and applications.
Monitor and optimize the performance of AI systems, ensuring accuracy, efficiency, and scalability.
Advocate for and implement responsible AI practices, considering ethical implications and potential biases.
Stay current with emerging AI trends and technologies, identifying opportunities for innovation.
Develop and maintain technical documentation for AI systems and Clienthitectures.
Qualifications
Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience).
Minimum 5+ years of experience in designing and implementing AI solutions.
Proven experience with leading AI frameworks (TensorFlow, PyTorch, etc.) and programming languages (Python, R).
In-depth knowledge of machine learning algorithms (deep learning, natural language processing, computer vision, etc.).
Experience with cloud platforms (AWS, Clienture, GCP) and/or on-premises infrastructure for AI deployments (a plus).
Strong understanding of system design principles and best practices.
Excellent communication, collaboration, and leadership skills.
Ability to translate business needs into technical solutions.
Passion for innovation and a forward-thinking mindset.
Certifications (Preferred)
Professional certifications in AI or machine learning (e.g., AWS Certified Machine Learning Specialty, Google Certified Professional Cloud Machine Learning Engineer)
At our organization, we value diversity, innovation, and ethical practices. We are committed to creating an inclusive and supportive work environment where employees can thrive and make a positive impact. If you are passionate about AI and possess the required skills and experience, we encourage you to apply for this exciting opportunity.
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