Job Description
Are you ready to architect the future of intelligent systems for the year 2026? Nexus Future Labs is seeking a visionary AI/ML Engineer to lead our next-generation research initiatives.
At Nexus, we don't just predict trends; we define them. We are building the foundational models that will power the digital economy in 2026 and beyond. If you are obsessed with pushing the boundaries of Generative AI, Large Language Models (LLMs), and Autonomous Systems, this is your stage.
Why Join Us?
- Impact: Work on projects that will shape the technology landscape of 2026.
- Freedom: Autonomy to choose the tech stack that drives innovation.
- Equity: Competitive equity package for early contributors.
We are looking for a technical virtuoso who isn't afraid to tackle unsolved problems.
Responsibilities
- Architect and deploy scalable, high-performance Machine Learning models tailored for 2026 infrastructure standards.
- Lead the research and development of Generative AI solutions, specifically focusing on LLMs and multimodal systems.
- Optimize model inference latency and reduce training costs using cutting-edge MLOps techniques.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products.
- Establish best practices for data governance, ethical AI, and model interpretability.
- Mentor junior engineers and contribute to the technical roadmap for future years.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Minimum of 5+ years of professional experience building production-grade ML systems.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- A forward-thinking mindset with a proven track record of innovation in tech.