Principal AI Engineer
We are seeking an exceptional Principal AI Engineer to join our bootstrapped AI startup. This role is pivotal in driving the development of cutting-edge artificial intelligence solutions from the ground up. As a Principal AI Engineer, you will be responsible for architecting, implementing, and deploying advanced AI models and systems that push the boundaries of what's possible.
Have you ever wanted to work for a start-up where you can be an early co-founder? Have you ever wanted to retire young from a start-up going IPO or selling? We are looking for skilled individuals with a passion for AI who know and understand the start-up environment. Start-ups are never easy but can be extremely rewarding.
Currently this role is a high equity-based opportunity! We are not doing hourly, or salary pay structures at this time, so we are looking for those who are currently working and can contribute to this project after hours or able to work without an income until we capture investors.
Responsibilities
- AI System Architecture and Design: Conceptualize and design robust AI architectures, leveraging state-of-the-art techniques and methodologies. Collaborate with cross-functional teams to translate business requirements into technical specifications and scalable AI solutions.
- Model Development and Training: Develop and train complex AI models using deep learning frameworks such as TensorFlow and PyTorch. Experiment with various neural network architectures, optimization techniques, and training strategies to achieve optimal performance.
- Mathematical Modeling and Algorithm Design: Apply advanced mathematical concepts, including linear algebra, calculus, probability, and statistics, to formulate and solve complex AI problems. Design and implement efficient algorithms for data processing, feature engineering, and model optimization.
- Research and Innovation: Stay up-to-date with the latest advancements in AI, machine learning, and deep learning. Conduct research and experimentation to explore novel techniques and approaches, contributing to the advancement of the field.
- Data Engineering and Preprocessing: Collaborate with data engineers to ensure the availability of high-quality, well-structured data for model training and evaluation. Implement data preprocessing pipelines, including data cleaning, normalization, and feature extraction.
- Model Deployment and Optimization: Deploy AI models into production environments, ensuring seamless integration with existing systems and infrastructure. Optimize models for performance, scalability, and resource efficiency.
- Documentation and Knowledge Sharing: Maintain comprehensive documentation of AI systems, architectures, and models. Contribute to knowledge sharing within the team, fostering a culture of continuous learning and collaboration.
Qualifications
- Education: A Master's or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field.
- Experience: Minimum of 5 years of experience in developing and deploying AI solutions, with a strong background in deep learning and neural networks.
- Technical Skills :Proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.
- Expertise in mathematical modeling, algorithm design, and optimization techniques.
- Experience with data preprocessing, feature engineering, and data visualization.
- Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
- Knowledge of software engineering principles, version control systems (e.g., Git), and CI/CD practices.
- Problem-Solving and Critical Thinking: Exceptional analytical and problem-solving skills, with the ability to break down complex problems and devise innovative solutions.
- Communication and Collaboration: Strong communication skills, both written and verbal, to effectively collaborate with cross-functional teams and stakeholders.
- Passion for Learning: A genuine passion for staying up-to-date with the latest advancements in AI and a commitment to continuous learning and professional development.
This is an exciting opportunity to be part of a dynamic and innovative AI startup, where you will have the chance to shape the future of artificial intelligence. If you are a talented and driven AI engineer with a strong mathematical background and a passion for pushing the boundaries of what's possible, we encourage you to apply.
About Betwixt:
At the vanguard of workplace innovation, Betwixt leverages advanced AI technology to automate middle management tasks, enhancing human creativity and facilitating seamless global collaboration. Our mission is to obliterate mundane managerial tasks and refine communication, empowering remote teams to reach unprecedented levels of productivity and engagement.