Job Description
We are seeking a visionary Senior Machine Learning Engineer to define the technological roadmap for 2026. At Nexus Horizon AI, we are building the next generation of autonomous systems. This is not merely a coding role; it is a strategic position where you will influence the future trajectory of artificial intelligence.
You will work at the intersection of deep learning, generative models, and scalable infrastructure. If you are passionate about pushing the boundaries of what is possible by the year 2026, this is your opportunity to lead the charge.
Responsibilities
- Define the 2026 AI Roadmap: Collaborate with executive leadership to architect the technical vision and key milestones for the next two years.
- Lead Research & Development: Spearhead the development of proprietary Large Language Models and advanced reinforcement learning agents.
- Optimize Production Models: Reduce inference latency and significantly improve model accuracy for real-time, high-volume applications.
- Build Scalable Infrastructure: Design and deploy robust MLOps pipelines that support thousands of concurrent requests globally.
- Mentor the Team: Guide junior engineers and data scientists in best practices for deep learning and ethical AI implementation.
- Stay Ahead of Trends: Continuously research emerging technologies (e.g., Neuro-symbolic AI, Quantum computing integration) relevant to the 2026 timeline.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering and deep learning frameworks.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with cloud platforms (AWS/GCP/Azure) is required.
- Language Mastery: Strong English communication skills required for cross-functional leadership and technical documentation.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems with data-driven solutions.
- Passion for the Future: A deep interest in the trajectory of AI technology and a commitment to building safe, ethical systems.