Job Description
Shape the Future with Nexus Future Labs
We are looking for a visionary Senior AI/ML Engineer to join our elite team. As we move towards our 2026 Vision, you will be at the forefront of developing autonomous systems and generative AI solutions that redefine industry standards. If you are passionate about building the technology of tomorrow, today, we want to hear from you.
At Nexus Future Labs, we believe in pushing boundaries. You will work on cutting-edge projects involving Large Language Models (LLMs), predictive analytics, and next-gen neural architectures. This is not just a job; it's an opportunity to define the technological landscape of the next decade.
Responsibilities
- Lead Model Development: Design, train, and deploy state-of-the-art machine learning models tailored for the 2026 strategic roadmap.
- System Architecture: Build scalable, robust infrastructure to support high-volume data processing and real-time inference.
- Innovation: Research and implement novel algorithms to solve complex business problems using AI/ML.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to integrate AI capabilities seamlessly into our products.
- Optimization: Continuously monitor, evaluate, and optimize model performance, latency, and accuracy.
- Mentorship: Guide junior engineers and contribute to a culture of technical excellence and continuous learning.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, Statistics, or a related technical field.
- Experience: 5+ years of professional experience in building and shipping ML/AI products to production.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of deep learning frameworks.
- Domain Knowledge: Deep familiarity with NLP, Computer Vision, or Reinforcement Learning.
- Tools: Experience with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and MLOps practices.
- Soft Skills: Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.