Job Description
Shape the Future with Project 2026.
Aether Dynamics is at the forefront of the next industrial revolution. We are looking for a highly skilled Senior Machine Learning Engineer to join our elite team and spearhead Project 2026. This initiative is our boldest leap into autonomous systems and predictive intelligence, designed to redefine efficiency in the enterprise sector.
In this pivotal role, you will not just write code; you will architect the neural foundations of our future. You will be responsible for the end-to-end lifecycle of machine learning models, ensuring they are robust, scalable, and ready to handle the demands of a global market. Join us in building the technologies that will define the era of 2026.
Responsibilities
- Architect and implement scalable deep learning models using PyTorch and TensorFlow for the core components of Project 2026.
- Optimize model inference pipelines to ensure sub-millisecond latency in high-traffic production environments.
- Collaborate with cross-functional teams of data scientists, DevOps engineers, and product managers to translate business requirements into technical solutions.
- Establish and enforce best practices for data governance, model versioning, and CI/CD in MLOps environments.
- Conduct rigorous research into novel algorithms to maintain a competitive edge in generative AI and NLP.
- Lead code reviews and mentor junior engineers, fostering a culture of technical excellence and innovation.
Qualifications
- Master’s degree in Computer Science, Statistics, Mathematics, or a related field (PhD preferred), with 5+ years of industry experience.
- Expert proficiency in Python, including advanced usage of Pandas, NumPy, and Scikit-learn.
- Deep experience with deep learning frameworks (PyTorch or TensorFlow) and experience deploying models on cloud infrastructure (AWS/GCP/Azure).
- Strong understanding of distributed computing, containerization (Docker/Kubernetes), and microservices architecture.
- Proven track record of improving model accuracy and performance metrics in real-world scenarios.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile startup environment.