Job Description
Are you ready to shape the technology landscape of 2026? Apex Dynamics is seeking a visionary Senior AI & Machine Learning Engineer to lead our cutting-edge research division. We are building the autonomous systems and generative intelligence models that will define the next era of enterprise technology.
In this role, you won't just implement existing solutions; you will architect the future. You will work at the intersection of deep learning, large language models (LLMs), and ethical AI, pushing the boundaries of what is possible in a rapidly evolving digital ecosystem.
Why Join Us?
- Future-Ready Technology: Work on greenfield projects with access to the latest GPU clusters and proprietary datasets.
- Impactful Work: Your models will power decision-making for Fortune 500 clients globally.
- Competitive Compensation: Includes equity, comprehensive health benefits, and annual learning stipends.
Responsibilities
- Architect and deploy scalable Deep Learning and Reinforcement Learning models designed for 2026 standards.
- Lead the research and implementation of Generative AI (GenAI) and Large Language Model (LLM) fine-tuning strategies.
- Design robust MLOps pipelines to ensure model reliability, scalability, and continuous deployment.
- Collaborate with product and engineering teams to integrate AI agents into core business workflows.
- Stay ahead of the curve on emerging AI paradigms, including multimodal learning and edge AI.
- Conduct rigorous code reviews and mentor junior data scientists to foster a culture of innovation.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- 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 production-grade ML models that drive measurable business impact.