Job Description
Are you ready to define the technological landscape of 2026 and beyond? Apex Horizon Solutions is seeking a visionary Senior AI Research Scientist to lead our cutting-edge Agentic AI division. We are building the infrastructure that will power the next decade of autonomous systems and generative intelligence. If you thrive in high-pressure environments and possess a deep understanding of the future of AI, this is your opportunity to leave a lasting legacy.
Our mission is to bridge the gap between theoretical machine learning and real-world application, ensuring our clients are not just ready for tomorrow, but leading the charge into it.
Responsibilities
- Architect Next-Gen AI Models: Design and deploy scalable Large Language Models (LLMs) and reinforcement learning agents optimized for 2026 computational standards.
- Lead R&D Initiatives: Spearhead research projects focused on multimodal learning, quantum computing integration, and autonomous decision-making frameworks.
- Model Optimization: Implement rigorous testing and optimization pipelines to ensure model latency, accuracy, and efficiency meet enterprise-grade benchmarks.
- Mentorship: Guide a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
- Strategic Roadmapping: Collaborate with C-suite executives to define the 3-5 year technology roadmap, aligning AI capabilities with business growth targets.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: Minimum of 5+ years of experience in AI/ML research or applied machine learning, with a portfolio demonstrating significant impact.
- Technical Proficiency: Deep expertise in PyTorch, TensorFlow, and distributed computing systems (e.g., Kubernetes, Ray).
- Future-Forward Mindset: Proven track record of researching emerging technologies and adapting them to solve complex business problems.
- Communication: Exceptional ability to translate complex technical concepts into clear, actionable strategies for non-technical stakeholders.