Job Description
Are you ready to define the trajectory of artificial intelligence by 2026? Nexus Future Labs is seeking a visionary Senior AI Engineer to spearhead our next-generation research initiatives. In this role, you won't just build models; you will architect the systems that power autonomous decision-making and generative intelligence in the years to come.
We are a cutting-edge research facility focused on ethical AI, deep learning architectures, and scalable cloud solutions. If you have a passion for pushing the boundaries of what's possible and want to leave a legacy in the tech landscape, we want to meet you.
Responsibilities
- Architect Scalable ML Systems: Design and implement robust, large-scale machine learning infrastructure ready for production deployment in high-traffic environments.
- Lead Research Initiatives: Pioneering novel algorithms and deep learning models to solve complex, unstructured problems relevant to the 2026 market landscape.
- Cross-Functional Collaboration: Partner with data scientists, product managers, and engineers to translate theoretical research into practical, high-impact software products.
- Optimization & Efficiency: Continuously refine model performance, accuracy, and computational efficiency to reduce latency and resource costs.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: Minimum of 5+ years of professional experience in AI/ML engineering, with a proven track record of shipping production models.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and SQL. Experience with distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- AI Expertise: Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Problem Solving: Exceptional ability to debug complex systems and derive insights from massive datasets.