Job Description
We are at the precipice of a new era in technology, and Apex Horizon Systems is seeking a visionary Principal AI & Machine Learning Architect to define the trajectory of our next-generation intelligence division. If you are passionate about shaping the future of AI for 2026 and beyond, this is your opportunity to lead from the front.
In this pivotal role, you will be responsible for architecting scalable, secure, and transformative AI systems that drive our global business strategy. You will bridge the gap between theoretical research and practical engineering, ensuring our solutions remain at the cutting edge of industry standards.
Why Join Us?
- Work on projects that define the future of enterprise AI.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art office amenities.
- Opportunity to mentor the next generation of AI talent.
Responsibilities
- Architect and deploy state-of-the-art generative AI and machine learning models tailored for 2026 enterprise needs.
- Lead the technical strategy for our AI infrastructure, ensuring scalability, fault tolerance, and security.
- Collaborate with cross-functional product teams to translate business requirements into technical AI solutions.
- Oversee the end-to-end machine learning lifecycle, from data ingestion and feature engineering to model deployment and monitoring.
- Drive research initiatives to explore emerging paradigms in Neural Networks and Large Language Models.
- Mentor senior engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
- Minimum of 8 years of professional experience in AI/ML engineering, with at least 3 years in a lead or architect role.
- Extensive expertise in Python, TensorFlow, PyTorch, and modern MLOps tools.
- Proven track record of deploying production-ready AI systems serving millions of users.
- Strong understanding of deep learning architectures, NLP, and Computer Vision.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.