Job Description
We are seeking a visionary Senior AI & Machine Learning Engineer to architect the next generation of intelligent systems. As we prepare for the technological landscape of 2026, you will be at the forefront of developing Autonomous Agents and Advanced Neural Networks that redefine human-machine interaction. If you are passionate about pushing the boundaries of Artificial General Intelligence (AGI) and want to build the tools of tomorrow, Nexus Horizon is the place for you.
Why Join Us?
- Impact: Work on high-stakes projects that will shape the future of the tech industry.
- Autonomy: Lead technical strategy without micromanagement in a fast-paced, innovative environment.
- Compensation: Competitive salary and equity package reflecting your expertise.
Key Responsibilities:
- Design and implement scalable machine learning models for autonomous decision-making systems.
- Lead research initiatives into Next-Gen Large Language Models (LLMs) and multimodal AI.
- Optimize existing AI pipelines for real-time inference and low-latency performance.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical solutions.
- Stay ahead of industry trends, specifically focusing on the technological advancements expected by 2026.
- Mentor junior engineers and contribute to the technical roadmap of the organization.
Qualifications:
- PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent industry experience).
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI Research.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience deploying AI models to production environments (AWS, GCP, or Azure).
- Exceptional problem-solving skills and the ability to work in a fast-paced, ambiguous environment.
Responsibilities
- Design and implement scalable machine learning models for autonomous decision-making systems.
- Lead research initiatives into Next-Gen Large Language Models (LLMs) and multimodal AI.
- Optimize existing AI pipelines for real-time inference and low-latency performance.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical solutions.
- Stay ahead of industry trends, specifically focusing on the technological advancements expected by 2026.
- Mentor junior engineers and contribute to the technical roadmap of the organization.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent industry experience).
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI Research.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience deploying AI models to production environments (AWS, GCP, or Azure).
- Exceptional problem-solving skills and the ability to work in a fast-paced, ambiguous environment.