Job Description
Are you ready to architect the future of intelligence? Horizon Dynamics is at the forefront of the 2026 tech revolution, and we are seeking a visionary AI/ML Architect to lead our next-generation research and development initiatives.
In this pivotal role, you will not just build models; you will define the architectural standards for a new era of autonomous systems. We are looking for a thought leader who thrives on solving complex problems and pushing the boundaries of what is possible with Artificial Intelligence.
Why join us? You will work with top-tier talent in a state-of-the-art facility, receive competitive compensation, and have the opportunity to shape the industry roadmap for 2026 and beyond.
Core Responsibilities:
- Architect and implement scalable machine learning pipelines and deep learning frameworks.
- Lead the research and development of proprietary algorithms targeting 2026 market readiness.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Ensure model accuracy, ethical AI compliance, and robust data governance practices.
- Drive the migration of legacy systems to modern, AI-driven infrastructure.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Present technical roadmaps and architectural visions to executive stakeholders.
Qualifications:
- PhD or Master’s degree in Computer Science, Statistics, or a related technical field.
- 7+ years of experience in machine learning, AI, or deep learning engineering.
- Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven track record of deploying production-grade ML models at scale.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
Responsibilities
- Architect and implement scalable machine learning pipelines and deep learning frameworks.
- Lead the research and development of proprietary algorithms targeting 2026 market readiness.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Ensure model accuracy, ethical AI compliance, and robust data governance practices.
- Drive the migration of legacy systems to modern, AI-driven infrastructure.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Present technical roadmaps and architectural visions to executive stakeholders.
Qualifications
- PhD or Master’s degree in Computer Science, Statistics, or a related technical field.
- 7+ years of experience in machine learning, AI, or deep learning engineering.
- Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven track record of deploying production-grade ML models at scale.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).