Job Description
We are seeking a visionary Senior AI Engineer to lead the development of next-generation artificial intelligence solutions. As we build the roadmap for the future, we need a pioneer who is passionate about defining the technological landscape of 2026 and beyond.
In this pivotal role, you will architect scalable machine learning systems, optimize neural networks, and drive innovation in generative AI. You will collaborate with world-class researchers and engineers to deliver solutions that are not only cutting-edge but also ethically sound and commercially viable.
If you are ready to tackle complex challenges and shape the future of intelligent automation, we want to hear from you.
Responsibilities
- Architect and Deploy: Design and implement robust, scalable machine learning infrastructure and production-grade AI models using Python, TensorFlow, and PyTorch.
- Research & Innovation: Stay at the forefront of AI trends, including Large Language Models (LLMs) and Computer Vision, to pioneer new solutions for 2026.
- Model Optimization: Continuously monitor, evaluate, and optimize model performance to ensure high accuracy and low latency in real-world applications.
- Cross-Functional Leadership: Partner with product managers, data scientists, and software engineers to translate business requirements into technical AI roadmaps.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and technical excellence within the team.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
- Experience: 5+ years of professional experience in machine learning engineering, deep learning, or artificial intelligence.
- Technical Skills: Proficiency in Python, SQL, and experience with deep learning frameworks (TensorFlow, PyTorch, JAX).
- Cloud Mastery: Strong experience deploying models on cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Proven ability to solve complex algorithmic problems and improve system efficiency.
- Communication: Excellent verbal and written communication skills to present technical concepts to non-technical stakeholders.