Job Description
Shape the Future of Intelligence
We are seeking a visionary Senior AI/ML Architect to spearhead our next-generation Generative AI initiatives. At Apex Horizon Systems, we are not just building software; we are engineering the cognitive frameworks that will define the technological landscape of 2026 and beyond. Join a team of elite engineers and researchers pushing the boundaries of Large Language Models (LLMs) and multimodal AI.
Key Responsibilities
- Architect & Deploy: Design, train, and deploy scalable, high-performance machine learning models for production environments.
- Research Innovation: Lead research into state-of-the-art algorithms, focusing on transformer architectures and reinforcement learning.
- Model Optimization: Reduce inference latency and computational costs while maintaining model accuracy.
- Collaboration: Partner with cross-functional teams including product managers, data scientists, and software engineers to integrate AI capabilities into core products.
- Strategy: Define the technical roadmap for AI adoption within the organization.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: Minimum 5+ years of professional experience in AI/ML engineering, specifically with Generative AI or Deep Learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Language: Strong command of English and technical documentation standards.
- Problem Solving: Proven track record of solving complex engineering challenges and optimizing large-scale systems.
Responsibilities
- Design, train, and deploy scalable machine learning models for production environments.
- Lead research into state-of-the-art algorithms, focusing on transformer architectures and reinforcement learning.
- Reduce inference latency and computational costs while maintaining model accuracy.
- Partner with cross-functional teams including product managers, data scientists, and software engineers to integrate AI capabilities into core products.
- Define the technical roadmap for AI adoption within the organization.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Minimum 5+ years of professional experience in AI/ML engineering, specifically with Generative AI or Deep Learning.
- Proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Strong command of English and technical documentation standards.
- Proven track record of solving complex engineering challenges and optimizing large-scale systems.