Job Description
We are seeking a visionary Senior AI/ML Engineer to join our elite engineering team at Nebula Innovations. As we stand on the precipice of the 2026 tech revolution, we are building the next generation of autonomous intelligent systems that will redefine industry standards.
In this role, you will lead the architecture and implementation of cutting-edge Machine Learning models, specializing in Large Language Models (LLMs) and Generative AI. You will work in a fast-paced, collaborative environment where your code directly impacts millions of users globally.
Why Join Us?
- Future-Proof Your Career: Work on technology that is shaping the roadmap for 2026 and beyond.
- Competitive Compensation: Generous salary, equity, and performance bonuses.
- Top-Tier Benefits: Comprehensive health coverage, unlimited PTO, and remote-first flexibility.
- State-of-the-Art Stack: Access to the latest GPUs and cloud infrastructure.
Responsibilities
- Design, train, and deploy scalable Machine Learning models and AI infrastructure.
- Lead the full ML lifecycle from data ingestion and preprocessing to model training and productionization.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI-driven features.
- Optimize models for low latency and high throughput in real-time production environments.
- Research and integrate state-of-the-art algorithms to stay ahead of industry trends.
- Establish best practices for code quality, testing, and monitoring in ML pipelines.
Qualifications
- Master’s degree or Ph.D. in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of professional experience in AI/ML, Deep Learning, or Natural Language Processing.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Deep understanding of LLMs, fine-tuning techniques, and RAG (Retrieval-Augmented Generation).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.