Job Description
We are seeking a visionary Senior Machine Learning Engineer to spearhead the Project 2026 initiative at Nexus Core Systems. This is a high-impact role focused on architecting the next generation of autonomous AI agents. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Why Join Us?
At Nexus Core, we are not just building software; we are defining the future. The Project 2026 team works in an agile, high-performance environment where innovation is the only metric that matters.
Responsibilities
- Architecture & Design: Lead the end-to-end design and implementation of scalable machine learning pipelines and infrastructure for the Project 2026 roadmap.
- Model Optimization: Research, develop, and deploy state-of-the-art Deep Learning models to improve predictive accuracy and system latency.
- MLOps Leadership: Establish and maintain robust CI/CD pipelines, ensuring seamless integration and deployment of models to production environments.
- Collaboration: Partner with cross-functional teams of data scientists, software engineers, and product managers to translate business requirements into technical solutions.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
- Experience: 8+ years of professional experience in Machine Learning, AI, or Data Engineering.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Problem Solving: Strong ability to troubleshoot complex system issues and optimize large-scale datasets.
- Communication: Excellent verbal and written communication skills with the ability to present technical concepts to non-technical stakeholders.