What are the responsibilities and job description for the AI/ML Software Engineer position at W3Global Inc.?
Job Description
Job Description
About the company -
Client is revolutionizing data structuring by building the foundation of the true spatial web. By leveraging our proprietary company's TULSA (Time United Location System Address) framework, we are integrating spatiotemporal data into a unified system with unparalleled precision. This is an opportunity to join a pioneering team redefining how data is stored, queried, and analyzed-starting with applications in aviation, oil and gas, and telecom, with the potential to expand into classified DoD projects in the near future.
As an AI / ML Software Engineer, you will play a pivotal role in designing the AI-driven functionality that underpins client. This is your chance to influence the future of geospatial intelligence and create a scalable platform with the potential to transform industries worldwide.
Due to the nature of our work, including potential collaborations with defense and government projects, applicants must be U.S. Citizens. This requirement ensures compliance with federal regulations and eligibility to work on sensitive projects involving national security. Proof of U.S. citizenship will be required during the hiring process.
Your Role
We're looking for a passionate and innovative AI / ML Software Engineer who can lead the development of company's spatiotemporal analytics capabilities. You will design, train, and deploy machine learning models that harness the unique strengths of our TULSA framework.
Key Responsibilities
AI Agent Development : Build and optimize Company's AI agents and embedded AI applications to process and analyze spatiotemporal data at scale.
Full-Stack Engineering : Back-end, front-end, and infrastructure architecting and build out of the company platform
Algorithm Design : Develop novel machine learning algorithms for recursive, hierarchical spatiotemporal data analysis and prediction.
Data Pipeline Integration : Design and implement data pipelines to process real-time and static data sources, ensuring compatibility with Company's TULSA grains.
Model Optimization : Train and optimize ML models for efficiency in querying and interacting with the Company's platform.
Cross-Industry Application : Collaborate with domain experts to adapt AI capabilities for aviation, oil and gas, and telecom industries.
Future DoD Expansion : Ensure AI systems are modular and secure, enabling future integration into classified military applications.
What You Bring
Required Skills
Advanced proficiency in Python with experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Proficiency and prompting skills with multiple AI platforms including but not limited to ChatGPT, Gemini, Claude, and Perplexity.
Experience in developing and deploying AI Agents using Llama, trained LLMs, and built ML models.
Strong understanding of geospatial data structures (e.g., ECEF, MGRS, TULSA) and hierarchical models.
Familiarity with distributed systems and working with APIs for real-time data ingestion and processing.
Expertise in algorithm optimization for querying large datasets efficiently.
Bachelor's degree (or equivalent experience) in Computer Science, AI / ML, or related fields.
Preferred Skills
Experience with ElasticSearch, MongoDB, or other NoSQL databases.
Knowledge of geospatial AI applications in industries like aviation, telecom, or energy.
Understanding of signal processing or GNSS-based systems.
Security and compliance knowledge for handling sensitive data (e.g., DoD standards).
