Job Description
At Nebula Future Systems, we are pioneering the next generation of cognitive computing. We are currently recruiting for the core engineering team of Project 2026, a revolutionary initiative designed to bridge the gap between artificial general intelligence and practical application in enterprise environments.
If you are a visionary technical leader with a passion for pushing the boundaries of what is possible in machine learning, we want to hear from you.
Responsibilities
- Architect and deploy scalable, fault-tolerant machine learning models for high-volume production environments.
- Lead the technical strategy for Project 2026, defining roadmaps and architectural patterns.
- Collaborate with data scientists and researchers to translate theoretical models into deployable code.
- Optimize deep learning pipelines for speed and efficiency using distributed computing frameworks.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior leadership role.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of Large Language Models (LLMs), Transformers, and fine-tuning techniques.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).