Job Description
The Future is Here. Join OmniCorp Future as we architect the technological landscape for 2026 and beyond. We are at the forefront of Generative AI and predictive analytics, seeking a visionary Senior AI/ML Architect to lead our next-generation research initiatives.
In this pivotal role, you will define the architectural strategy for scalable AI systems, ensuring our solutions are not only cutting-edge but ethically sound and future-proof. You will work with a world-class team of data scientists and engineers to build the intelligent infrastructure that powers our global operations.
Why Join Us?
- Shape the roadmap for 2026 and beyond.
- Work with state-of-the-art LLMs and Neural Networks.
- Competitive equity package and top-tier benefits.
We are looking for a thought leader who thrives in ambiguity and is driven by the challenge of solving the complex problems of tomorrow.
Responsibilities
- Architect and deploy robust, scalable machine learning models for production environments.
- Lead the research and development of Generative AI technologies, focusing on efficiency and accuracy.
- Collaborate with cross-functional teams to integrate AI solutions into core business products.
- Establish best practices for MLOps, data governance, and model monitoring.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Evaluate emerging technologies to ensure OmniCorp remains ahead of the 2026 tech curve.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 7+ years of professional experience in AI/ML engineering, with at least 3 years in a lead or architect role.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven experience designing and deploying Large Language Models (LLMs) or Computer Vision systems.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/K8s).
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.