Job Description
We are seeking a visionary AI & Machine Learning Architect to lead the design and implementation of technologies that will define the Year 2026. In this pivotal role, you will shape the future of our AI infrastructure, ensuring our solutions remain at the forefront of innovation. You will work closely with cross-functional teams to build scalable, efficient, and ethical machine learning systems that drive business value.
Key Highlights:
• Shape the Future: Direct the technical roadmap for the 2026 AI strategy.
• Innovation First: Work with state-of-the-art frameworks and emerging tech.
• Impactful Work: Build systems used by millions globally.
What You'll Do:
- Architect and deploy scalable machine learning pipelines for production environments.
- Lead research initiatives to integrate Generative AI and Large Language Models into core products.
- Optimize existing models for speed, accuracy, and resource efficiency.
- Mentor a team of data scientists and engineers to foster a culture of technical excellence.
- Collaborate with product managers to define AI capabilities for upcoming 2026 releases.
- Evaluate and implement new hardware accelerators and cloud technologies.
Qualifications:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 5+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and Scikit-learn.
- Strong proficiency in distributed systems design and cloud platforms (AWS/GCP).
- Experience with containerization (Docker/Kubernetes) and MLOps practices.
- Excellent communication skills and the ability to translate complex technical concepts for diverse audiences.
Responsibilities
- Lead the architectural design of scalable Machine Learning systems for the 2026 roadmap.
- Research and implement cutting-edge AI models, including LLMs and generative AI.
- Optimize deep learning pipelines for production environments to ensure high performance.
- Collaborate with product teams to translate business requirements into technical solutions.
- Mentor junior data scientists and engineers to foster a culture of innovation.
- Evaluate emerging technologies to prepare our infrastructure for the year 2026.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 5+ years of experience in software engineering and machine learning architecture.
- Proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- Experience with NLP, Computer Vision, or Reinforcement Learning.
- Exceptional problem-solving skills and the ability to work in a fast-paced environment.