Job Description
At 2026, we are not just predicting the future; we are architecting it. As a leading pioneer in generative intelligence and autonomous systems, we are seeking a visionary Senior Machine Learning Engineer to lead our core model infrastructure.
You will design and implement scalable machine learning pipelines that power the next generation of intelligent applications. If you are passionate about pushing the boundaries of what's possible in AI and want to shape the technology of tomorrow, we want to hear from you.
Responsibilities
- Design and implement scalable machine learning pipelines for high-traffic production environments.
- Lead architectural decisions for large-scale deep learning models and NLP systems.
- Mentor junior engineers and foster a culture of innovation within the engineering team.
- Collaborate with cross-functional product teams to translate business requirements into technical solutions.
- Optimize model performance, latency, and resource efficiency.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in machine learning, deep learning, or NLP.
- Proficiency in Python, PyTorch, or TensorFlow.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong problem-solving skills and ability to work in a fast-paced, agile environment.