Job Description
We are at the forefront of defining the AI landscape of 2026. Nexus Future Labs is seeking a visionary Senior AI/ML Engineer to lead the development of our next-generation Agentic AI systems. You will work on cutting-edge Large Language Models (LLMs), computer vision, and autonomous agents.
If you are passionate about building scalable machine learning infrastructure and want to shape the future of intelligent software, we want to meet you.
About The Role
In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering. You will be responsible for the full lifecycle of AI model development, from data engineering to model deployment and monitoring. You will collaborate with a world-class team of researchers and engineers to push the boundaries of what is possible.
Key Benefits
- Competitive salary and equity package.
- Comprehensive health, dental, and vision insurance.
- Flexible remote-first work policy.
- Unlimited PTO and learning budget.
Responsibilities
- Design, train, and deploy state-of-the-art machine learning models and algorithms.
- Optimize AI inference pipelines for low latency and high throughput in production environments.
- Collaborate with cross-functional teams to integrate AI capabilities into product features.
- Conduct research to identify new techniques in Natural Language Processing (NLP) and Deep Learning.
- Mentor junior engineers and contribute to the technical roadmap for 2026.
- Ensure data privacy, security, and ethical AI practices are maintained throughout the development lifecycle.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in Machine Learning, AI, or Data Science.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of Deep Learning architectures (Transformers, CNNs, RNNs).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of shipping production ML models.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.