Job Description
We are looking for a visionary Senior AI/ML Architect (Class of 2026) to lead our research initiatives in next-generation generative models. At Omni-Next Technologies, we aren't just building software for today; we are architecting the intelligent systems that will define the era of 2026 and beyond. You will work at the intersection of deep learning, ethical AI, and scalable infrastructure, ensuring our solutions are not only powerful but responsible.
Join a world-class team of engineers, ethicists, and strategists dedicated to pushing the boundaries of what's possible. You will have the autonomy to shape technical roadmaps, mentor junior talent, and deploy cutting-edge solutions that impact millions of users globally.
Responsibilities
- Architect and deploy scalable machine learning pipelines using Python, TensorFlow, and PyTorch to support real-time data processing.
- Lead research initiatives in generative AI, focusing on efficiency, accuracy, and reduced computational costs.
- Define and implement ethical AI guidelines to ensure fairness, transparency, and accountability in model outputs.
- Mentor a high-performing engineering team, conducting code reviews, architecture reviews, and technical workshops.
- Collaborate with product managers and stakeholders to translate complex business requirements into robust technical solutions.
- Optimize model inference speeds and reduce latency for production environments.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5+ years of professional experience in Machine Learning Engineering or Applied AI.
- Strong proficiency in Python, SQL, and experience with major deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proven track record of deploying end-to-end ML models into production environments (AWS, GCP, or Azure).
- Experience with MLOps tools, data versioning, and CI/CD pipelines for machine learning.
- Deep understanding of neural network architectures, natural language processing (NLP), or computer vision (depending on specialization).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.