Job Description
We are not just building software for today; we are architecting the digital infrastructure of 2026. OmniNext Technologies is seeking a visionary Senior AI/ML Architect to lead our research and development division. If you have a passion for pushing the boundaries of generative AI, large language models, and ethical machine learning, this is your opportunity to define the future.
In this role, you will bridge the gap between theoretical research and production-ready engineering, ensuring our solutions are scalable, secure, and transformative.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of next-generation AI systems and machine learning pipelines focused on the 2026 roadmap.
- R&D Strategy: Spearhead research initiatives in Generative AI and Natural Language Processing (NLP) to drive product innovation.
- System Optimization: Enhance model performance, reduce latency, and optimize resource utilization for high-volume deployments.
- Collaboration: Work closely with product managers, data scientists, and software engineers to translate complex requirements into technical roadmaps.
- MLOps Implementation: Establish robust CI/CD pipelines and monitoring systems to ensure model reliability and governance.
- Code Review & Mentorship: Provide technical guidance to junior engineers and conduct rigorous code reviews to maintain high engineering standards.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field (equivalent experience accepted).
- Experience: 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a lead or architect role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of transformer architectures and LLM fine-tuning.
- Cloud Proficiency: Proven experience deploying models on cloud platforms (AWS, GCP, or Azure) using containerization (Docker/Kubernetes).
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with scalable technical solutions.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and cross-functional teams.