Air Apps is looking to solve the problem of revolutionizing how individuals and businesses manage their resources by developing the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP). The AI/ML Engineer will be instrumental in designing, developing, and optimizing machine learning models that power their mobile applications to create intelligent, data-driven features that enhance user experiences and stay ahead in the competitive mobile app industry.
Requirements
- Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or similar.
- Solid understanding of deep learning, natural language processing (NLP), computer vision, and statistical modeling.
- Experience with cloud-based machine learning services like AWS, Google Cloud, or Azure.
- Strong knowledge of data structures, algorithms, and best practices in software engineering.
- Experience deploying and maintaining machine learning models in production environments.
- Minimum of 3+ years of experience in AI/ML development, preferably within mobile applications.
Responsibilities
- Develop, train, and optimize machine learning models tailored for various features within our mobile applications.
- Research and implement cutting-edge AI techniques to enhance user engagement and overall app performance.
- Collaborate with cross-functional teams including product managers, engineers, and designers to integrate AI solutions seamlessly into our products.
- Design, build, and maintain scalable machine learning pipelines, ensuring efficient deployment and ongoing monitoring of models.
- Analyze large datasets to extract actionable insights that inform product development and strategic decisions.
- Stay abreast of the latest advancements in AI and machine learning, incorporating best practices into our development processes.
- Optimize AI models specifically for mobile environments to guarantee high performance and low latency.
Other
- Excellent collaboration skills to work effectively within remote multidisciplinary teams.
- Strong problem-solving skills with a passion for innovation and continuous learning.
- This posting aims to enhance our talent pool as we prepare for the official job launch, and we will contact suitable candidates once the role is officially posted.
