Job Description
Are you ready to define the future of technology?
Nexus Horizon is seeking a visionary Senior AI & Machine Learning Architect to lead our initiatives in 2026 and beyond. We are building the next generation of autonomous systems and predictive analytics platforms. If you have a passion for pushing the boundaries of what's possible with Deep Learning, Computer Vision, and Natural Language Processing, we want to meet you.
In this role, you will not just implement existing models; you will architect the infrastructure that will power our products for the next decade. Join a team of elite engineers and data scientists dedicated to innovation, scalability, and ethical AI development.
Why Nexus Horizon?
- Work on cutting-edge projects that impact millions.
- Competitive compensation package and equity options.
- Flexible remote-first culture with premium office amenities.
Responsibilities
- Lead AI Architecture: Design, implement, and maintain scalable machine learning infrastructure and pipelines using cloud-native technologies.
- Model Development: Research and develop advanced Deep Learning models for Computer Vision and NLP applications.
- Team Mentorship: Guide junior engineers and data scientists, conducting code reviews and technical workshops.
- Performance Optimization: Optimize model inference speeds and reduce latency in real-time production environments.
- Strategic Planning: Collaborate with product managers to define the AI roadmap for upcoming product releases.
- Data Strategy: Establish best practices for data governance, cleaning, and feature engineering.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field; or equivalent practical experience.
- Experience: 5+ years of professional experience in Machine Learning, AI, or Data Science.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Cloud Expertise: Strong experience with AWS, GCP, or Azure, including SageMaker or Vertex AI.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: Proven track record of solving complex, unstructured problems in ambiguous environments.