Job Description
We are seeking a visionary AI/ML Engineer to architect the intelligent systems of tomorrow. As we look toward the technological landscape of 2026, we need a technical expert to lead the development of next-generation generative models and predictive algorithms.
Role Overview:
In this pivotal role, you will bridge the gap between theoretical research and scalable production environments. You will be responsible for building the neural architectures that power our core products, ensuring they are robust, ethical, and scalable.
What You Will Do:
- Architect Next-Gen Models: Design and implement cutting-edge Deep Learning and LLM architectures tailored for enterprise applications.
- Optimize Infrastructure: Build efficient MLOps pipelines to manage model training, validation, and deployment at scale.
- Pioneering Research: Stay ahead of the curve in AI trends (AGI, Reinforcement Learning) and apply novel techniques to real-world problems.
- Data Strategy: Collaborate with data scientists to curate high-quality datasets and define data governance standards.
- Ethical AI: Ensure all models adhere to fairness, transparency, and safety guidelines.
Responsibilities
- Develop and fine-tune large-scale neural networks using Python and PyTorch.
- Implement continuous integration/continuous deployment (CI/CD) for machine learning models.
- Analyze complex data streams to drive product innovation.
- Lead code reviews and mentor junior engineers on best practices.
- Document technical specifications and model behavior for stakeholders.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 5+ years of professional experience in Machine Learning engineering.
- Deep proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Strong understanding of Natural Language Processing (NLP) and Computer Vision.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of deploying models to production environments.