Job Description
Are you ready to architect the artificial intelligence systems that will define the next decade? OmniFuture Systems is seeking a visionary Senior AI & Machine Learning Architect to spearhead our 2026 strategic roadmap. We are building the next generation of sentient computing interfaces, and we need a leader who understands not just the code, but the future of human-computer symbiosis.
In this role, you won't just maintain models; you will evolve them. You will work at the intersection of deep learning, neural architecture search, and ethical AI governance to build scalable, robust systems ready for the enterprise of tomorrow.
Why Join Us?
- Shape the future of AI with a team of world-class engineers and ethicists.
- Work on cutting-edge projects that have global impact.
- Competitive compensation package with equity opportunities.
Responsibilities
- Architect & Deploy: Design and implement scalable deep learning pipelines and neural network architectures optimized for real-time inference.
- R&D Leadership: Lead research initiatives focusing on Generative AI, Large Language Models (LLMs), and predictive analytics to stay ahead of the 2026 tech curve.
- Model Optimization: Reduce latency and improve accuracy of AI models using techniques like quantization and pruning.
- Ethical AI Governance: Establish and enforce best practices for fairness, transparency, and accountability in automated decision-making systems.
- Collaboration: Partner with cross-functional teams (Product, Data Science, and Legal) to translate complex technical requirements into business value.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent professional experience).
- Experience: 5+ years of professional experience in Machine Learning Engineering, with at least 2 years in a senior leadership or architect role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- Specialization: Deep understanding of Transformer architectures, NLP, or Computer Vision is highly preferred.
- Problem Solving: Demonstrated ability to tackle complex, ambiguous problems and deliver solutions that scale.
- Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders clearly and persuasively.
- Passion: A genuine passion for the future of technology and staying ahead of emerging trends.