Job Description
Join the vanguard of artificial intelligence at Apex Dynamics. We are building the foundational models for the next decade and are seeking a visionary Senior Machine Learning Engineer to drive our 2026 roadmap. In this pivotal role, you will bridge the gap between theoretical research and production-grade systems, leveraging cutting-edge neural architectures to solve complex real-world problems.
Why join us?
- Work with state-of-the-art Generative AI and LLMs.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium benefits.
We are looking for a problem solver who is passionate about the future of technology and eager to define the AI landscape for 2026 and beyond.
Responsibilities
- Design, train, and deploy scalable deep learning models and large language models (LLMs) for enterprise applications.
- Optimize existing neural networks for speed, accuracy, and resource efficiency on cloud infrastructure.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical requirements and AI strategy.
- Conduct rigorous experimentation, A/B testing, and analysis to improve model performance and reduce bias.
- Mentor junior engineers and contribute to the technical roadmap for future AI capabilities.
- Ensure the scalability, security, and compliance of machine learning pipelines.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
- 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of deploying end-to-end ML solutions in production environments.
- Deep understanding of NLP concepts, transformers, and fine-tuning techniques.