Job Description
Are you ready to shape the technological landscape of tomorrow? Nebula Dynamics is seeking a visionary Senior AI Architect to lead our next-generation research division. In this pivotal role, you will architect the AI infrastructure that will define the future of our industry, focusing on next-gen machine learning models and scalable generative AI solutions.
We are not just building software; we are building the future. Join a team of elite engineers and data scientists working at the forefront of innovation. You will have the autonomy to define technical strategies, mentor a world-class team, and deploy cutting-edge solutions that solve complex, real-world problems.
Why Join Us?
- Work on projects that matter to billions of users.
- Competitive compensation and equity package.
- Flexible remote-first culture with state-of-the-art equipment.
- Access to the latest hardware and cloud infrastructure.
If you are passionate about the intersection of artificial intelligence and human potential, we want to hear from you.
Responsibilities
- Architectural Leadership: Design and implement scalable, robust AI infrastructure and machine learning pipelines.
- Model Development: Spearhead the research and deployment of advanced Large Language Models (LLMs) and generative algorithms.
- Technical Strategy: Define the technical roadmap for AI initiatives, ensuring alignment with business goals and industry trends.
- Team Mentorship: Guide and mentor junior data scientists and engineers, fostering a culture of continuous learning and innovation.
- Performance Optimization: Continuously monitor, evaluate, and improve model accuracy, latency, and resource efficiency.
- Cross-Functional Collaboration: Partner with product managers, engineers, and stakeholders to translate complex requirements into technical specifications.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: Minimum of 5+ years of experience in machine learning, deep learning, or AI engineering.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with MLOps platforms (e.g., Kubeflow, MLflow).
- Specialized Knowledge: Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Proven ability to tackle ambiguous problems and deliver innovative solutions under tight deadlines.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.