Job Description
Welcome to the future of technology. Apex Dynamics is pioneering the infrastructure for the year 2026 and beyond. We are looking for a visionary Senior AI & Machine Learning Engineer to lead our research initiatives in autonomous systems and advanced generative AI.
In this role, you will not just write code; you will architect the cognitive layer of our next-generation products. You will work at the intersection of deep learning, natural language processing, and scalable cloud architecture. If you are driven by the challenge of solving complex problems and shaping the AI landscape of tomorrow, this is your opportunity to make an impact.
Why Join Us?
- Work with state-of-the-art hardware and cloud infrastructure.
- Competitive equity package and top-tier health benefits.
- Flexible remote-first culture with quarterly team retreats.
- Continuous learning budget and access to the latest research tools.
Responsibilities
- Design, train, and deploy cutting-edge Machine Learning models and AI agents.
- Optimize existing algorithms for high-performance computing and low-latency inference.
- Collaborate closely with product managers and data scientists to define AI roadmap requirements.
- Conduct research to explore new techniques in Generative AI and Large Language Models (LLMs).
- Mentor junior engineers and conduct code reviews to ensure best practices in data science.
- Ensure data privacy, security, and ethical AI practices across all models.
Qualifications
- PhD or Master’s degree in Computer Science, AI, Statistics, or a related technical field.
- 5+ years of professional experience in AI/ML engineering, preferably in a high-growth startup environment.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of Deep Learning architectures, NLP, and Computer Vision.
- Experience with MLOps pipelines, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
- Strong mathematical background and ability to translate business problems into technical solutions.