Job Description
We are seeking a visionary Senior AI/ML Engineer to join Vertex Horizon. In an era defined by rapid technological advancement, we are building the infrastructure that will define the next decade of artificial intelligence. This role is not just about writing code; it is about architecting the future of intelligent systems.
As a key member of our Core AI division, you will lead the development of state-of-the-art machine learning models and neural networks. You will work in a high-performance environment that values innovation, precision, and scalability. If you are passionate about the potential of AGI and want to solve complex problems that have no easy answers, this is your opportunity to make a significant impact.
Why Join Us?
- Work on cutting-edge projects that push the boundaries of technology.
- Competitive compensation package with equity options.
- Access to top-tier hardware and cloud resources for experimentation.
- A culture of continuous learning and mentorship.
Responsibilities
- Design, develop, and deploy scalable machine learning models and deep learning architectures.
- Lead the end-to-end data science lifecycle, from data ingestion and preprocessing to model training and evaluation.
- Optimize existing models for production environments, ensuring high performance and low latency.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to integrate AI solutions into business workflows.
- Conduct rigorous research and experimentation with novel algorithms and architectures to drive innovation.
- Mentor junior engineers and provide technical guidance on best practices in AI development.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field.
- Minimum of 5+ years of professional experience in AI/ML engineering, with a strong focus on deep learning.
- Proficiency in programming languages such as Python, PyTorch, or TensorFlow.
- Extensive experience with MLOps tools, cloud platforms (AWS, GCP, or Azure), and containerization technologies (Docker, Kubernetes).
- Strong understanding of statistical methods, optimization techniques, and large-scale distributed systems.
- Excellent problem-solving skills and the ability to translate complex business requirements into technical solutions.