Job Description
We are looking for a visionary Senior AI/ML Engineer to join our elite team at Quantum Leap Tech. In this role, you will be at the forefront of artificial intelligence innovation, tasked with building scalable models that will define the next generation of our products. If you are passionate about solving complex problems and shaping the future of technology, we want to hear from you.
About the Role
As a Senior AI/ML Engineer, you will lead the development and deployment of advanced machine learning systems. You will work in a fast-paced environment where your code directly impacts millions of users. We value creativity, technical excellence, and a deep understanding of data.
Why Join Us?
- Competitive Compensation: Top-tier salary and equity package.
- Modern Stack: Work with the latest tools in AI and Cloud infrastructure.
- Impact: Build products that change the world.
Key Responsibilities
- Design, implement, and deploy state-of-the-art machine learning models for large-scale applications.
- Optimize existing algorithms for speed, accuracy, and efficiency in production environments.
- Collaborate with product managers and engineers to define AI requirements and roadmap.
- Conduct rigorous testing and validation to ensure model reliability and ethical AI practices.
- Mentor junior data scientists and engineers, fostering a culture of continuous learning.
- Stay abreast of the latest research in Deep Learning and Natural Language Processing.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field.
- Minimum of 5 years of professional experience in Machine Learning or AI engineering.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong experience with MLOps, data pipelines, and cloud platforms (AWS/GCP/Azure).
- Proven track record of shipping production-grade ML applications.
- Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders.
Responsibilities
- Design, implement, and deploy state-of-the-art machine learning models for large-scale applications.
- Optimize existing algorithms for speed, accuracy, and efficiency in production environments.
- Collaborate with product managers and engineers to define AI requirements and roadmap.
- Conduct rigorous testing and validation to ensure model reliability and ethical AI practices.
- Mentor junior data scientists and engineers, fostering a culture of continuous learning.
- Stay abreast of the latest research in Deep Learning and Natural Language Processing.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field.
- Minimum of 5 years of professional experience in Machine Learning or AI engineering.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong experience with MLOps, data pipelines, and cloud platforms (AWS/GCP/Azure).
- Proven track record of shipping production-grade ML applications.
- Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders.