Job Description
Are you ready to architect the future of intelligence? OmniStream Systems is seeking a visionary Senior AI Architect to lead our groundbreaking Project 2026. In this pivotal role, you will define the roadmap for next-generation generative AI models, focusing on scalability, efficiency, and ethical deployment. Join us in shaping the technological landscape of 2026 and beyond.
Why Join Us?
We are a fast-paced, innovation-driven company pushing the boundaries of what's possible in artificial intelligence. You will work with top-tier talent, cutting-edge hardware, and proprietary datasets to solve complex problems that matter.
Responsibilities
- Lead Architectural Design: Spearhead the design and implementation of scalable machine learning infrastructure for large-scale language models and neural networks.
- R&D Strategy: Define the technical vision for the 2026 roadmap, researching emerging paradigms such as edge computing integration and federated learning.
- Model Optimization: Oversee the optimization of model latency and throughput, ensuring real-time performance across diverse hardware environments.
- Team Leadership: Mentor a team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
- Stakeholder Collaboration: Translate complex technical requirements into actionable strategies for product managers and executive leadership.
- Ethical AI Compliance: Implement guardrails and safety protocols to ensure responsible AI deployment and mitigate bias.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 7+ years of professional experience in machine learning engineering, with at least 3 years in a senior leadership or architect role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Transformer architectures, and Reinforcement Learning.
- Soft Skills: Exceptional communication skills with the ability to articulate complex concepts to non-technical stakeholders.
- Certifications: AWS Certified Machine Learning Specialty or equivalent is a plus.