Job Description
Are you ready to shape the future of technology?
Nexus Innovations is on a mission to define the next generation of intelligent systems. We are looking for a visionary Senior AI & Machine Learning Architect to lead Project 2026, our flagship initiative to revolutionize generative AI deployment at scale.
In this pivotal role, you won't just be writing code; you will architect the infrastructure that powers the next decade of digital interaction. You will collaborate with world-class researchers and engineers to build scalable, robust, and ethical AI systems. If you are passionate about pushing the boundaries of what's possible and thrive in a fast-paced, high-impact environment, we want to hear from you.
Responsibilities
- Strategic Roadmap: Define and execute the technical vision for Project 2026, ensuring alignment with business objectives and industry standards.
- System Architecture: Design and implement scalable machine learning pipelines and distributed systems capable of handling petabytes of data.
- Model Optimization: Lead efforts in model training, fine-tuning, and optimization to improve latency, accuracy, and cost-efficiency.
- Tech Stack Leadership: Mentor a team of data scientists and engineers, setting coding standards and best practices for production environments.
- Cross-Functional Collaboration: Partner with product managers, researchers, and stakeholders to translate complex requirements into technical solutions.
- Security & Compliance: Ensure all AI systems adhere to strict data privacy regulations and security protocols.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- Leadership: Proven track record of leading high-performance engineering teams and managing complex technical projects.
- Problem Solving: Exceptional ability to troubleshoot complex architectural challenges and drive innovative solutions.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical audiences.