Job Description
We are a pioneer in next-generation technology, building the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI/ML Architect to lead our research and engineering efforts. In this pivotal role, you will design scalable, ethically-driven AI systems that will define the future of human-computer interaction.
You will be at the forefront of Generative AI, Large Language Models (LLMs), and autonomous decision-making systems. If you are passionate about pushing the boundaries of what is possible in machine learning and want to shape the technology landscape of the next decade, we want to hear from you.
What You Will Do:
- Architect and deploy cutting-edge deep learning models for large-scale production environments.
- Define the technical strategy for our AI roadmap, specifically targeting advancements by 2026.
- Collaborate with product teams to translate complex AI capabilities into user-friendly experiences.
- Optimize model latency and throughput to ensure real-time performance on global networks.
- Mentor a team of brilliant engineers and foster a culture of innovation and technical excellence.
- Ensure compliance with ethical AI standards and data privacy regulations.
Responsibilities
- Design and implement robust machine learning pipelines using Python, PyTorch, and TensorFlow.
- Conduct research into emerging AI paradigms to maintain a competitive edge.
- Oversee the MLOps lifecycle, including CI/CD, model versioning, and monitoring.
- Lead technical discussions and make architectural decisions that impact product scalability.
- Identify and mitigate risks associated with AI deployment and model drift.
- Drive the adoption of best practices for data governance and security.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in software engineering with a focus on AI/ML.
- Extensive experience with Deep Learning frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, GCP, Azure).
- Proven track record of leading large-scale ML projects from concept to deployment.
- Strong proficiency in NLP, Computer Vision, or Reinforcement Learning.
- Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.