Job Description
Are you ready to architect the infrastructure for the next generation of intelligent systems? Apex Dynamics is seeking a visionary Senior AI/ML Engineer to lead our research initiatives in generative AI and scalable machine learning architectures. In a role designed for the '2026' era of autonomous computing, you will not just implement existing models; you will pioneer the algorithms that will define the future of enterprise automation.
We are looking for a technical leader who thrives in a fast-paced environment and possesses a deep understanding of the mathematical foundations behind deep learning. Join a team of elite engineers dedicated to pushing the boundaries of what is possible in artificial intelligence.
Responsibilities
- Design and deploy scalable machine learning pipelines for large-scale data processing and model training.
- Research and prototype cutting-edge algorithms to improve model accuracy, efficiency, and inference speed.
- Lead the transition of models from research to production environments using MLOps best practices.
- Mentor junior engineers and conduct rigorous code reviews to ensure architectural integrity.
- Collaborate with cross-functional product teams to translate complex business requirements into technical AI solutions.
Qualifications
- Ph.D. or M.S. in Computer Science, Statistics, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering, deep learning, or NLP.
- Expert proficiency in Python, PyTorch, or TensorFlow, with experience in cloud infrastructure (AWS/GCP).
- Strong understanding of distributed systems, containerization (Docker/Kubernetes), and database technologies.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.