Job Description
Are you ready to define the technological landscape of 2026?
NexaCore Innovations is seeking a visionary Senior AI/ML Architect to lead our cutting-edge research division. As we prepare to launch our flagship generative AI platform, we need a technical leader who can bridge the gap between theoretical AI advancements and practical, scalable engineering solutions.
In this role, you will be at the forefront of developing the neural architectures that will power our products for the next decade. If you are passionate about the future of artificial intelligence and want to build systems that are not just advanced, but responsible and impactful, we want to hear from you.
Why Join Us?
- Work on projects that define the roadmap for 2026 and beyond.
- Competitive compensation and equity packages.
- Flexible remote-first culture.
- Access to state-of-the-art hardware and research grants.
Responsibilities
- Architect Design: Design and implement scalable machine learning pipelines and neural network architectures capable of handling high-volume data streams in real-time.
- Research & Development: Stay ahead of the curve by researching emerging AI trends, specifically focusing on Large Language Models (LLMs) and generative adversarial networks (GANs) relevant to the 2026 tech stack.
- Model Optimization: Optimize existing models for speed, accuracy, and resource efficiency, ensuring our solutions run seamlessly on edge devices and cloud infrastructures.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning within the technical team.
- Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into robust engineering solutions.
- Ethical AI: Establish and enforce best practices for data privacy, bias mitigation, and ethical AI deployment.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: Minimum of 7+ years of professional experience in machine learning, deep learning, or artificial intelligence engineering.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of MLOps, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems using data-driven approaches.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Passion: A deep passion for the future of technology and a proactive approach to learning new tools and methodologies.