Job Description
Are you ready to shape the future of technology? Nexus Horizon is seeking a visionary Senior AI/ML Engineer to lead our next-generation artificial intelligence initiatives. We are building the infrastructure for tomorrow, and we need a technical mastermind who thrives on complexity and innovation.
In this role, you will bridge the gap between theoretical research and production-grade software. You will work on cutting-edge projects that redefine user experiences and operational efficiency. If you are passionate about deep learning, large language models, and scalable architectures, we want to hear from you.
Why Join Nexus Horizon?
- Work on projects that impact millions of users worldwide.
- Competitive compensation and equity package.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to mentor junior talent and shape engineering culture.
Responsibilities
- Design, develop, and deploy advanced machine learning models and neural networks optimized for production environments.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Research and implement state-of-the-art algorithms to improve model accuracy, speed, and scalability.
- Mentor junior engineers and conduct code reviews to ensure best practices in software development and data privacy.
- Optimize data pipelines for large-scale data ingestion and processing using cloud-native technologies.
- Stay abreast of the latest trends in AI and ML to drive innovation within the organization.
Qualifications
- Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Proven experience (5+ years) in developing and deploying machine learning models at scale.
- Strong proficiency in Python, TensorFlow, PyTorch, or Scikit-learn.
- Deep understanding of deep learning architectures, NLP, and computer vision.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.