Job Description
Are you ready to define the future of technology? Nexus 2026 is seeking a visionary Lead Machine Learning Engineer to spearhead our next-generation AI infrastructure. This is not just a job; it is a mission to redefine the technological landscape by 2026.
We are building the core engine for the 2026 Autonomous Ecosystem, a revolutionary platform designed to integrate seamlessly with next-gen IoT and predictive analytics. In this role, you will bridge the gap between theoretical research and scalable production deployment.
Why Join Us?
- Work on cutting-edge AI models that will shape the industry.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium benefits.
Your Impact:
You will lead a high-performing team of data scientists and engineers, ensuring our 2026 roadmap is delivered with precision and innovation. You will optimize our neural networks for real-time decision making and drive the architectural vision for our proprietary data lake.
Responsibilities
- Architect and deploy scalable machine learning models for the 2026 Autonomous Ecosystem.
- Lead a cross-functional team of data scientists, engineers, and product managers.
- Optimize existing algorithms for high-throughput, low-latency inference.
- Collaborate with hardware teams to deploy models on edge devices.
- Establish best practices for data governance, MLOps, and CI/CD pipelines.
- Conduct research into emerging AI paradigms to maintain our competitive edge.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 8+ years of professional experience in building and deploying production ML systems.
- Expert proficiency in Python, PyTorch, TensorFlow, and C++.
- Strong experience with distributed computing frameworks (Kubernetes, Spark).
- Proven track record of leading engineering teams through complex technical challenges.
- Experience with Natural Language Processing (NLP) or Computer Vision is highly preferred.