Responsibilities :

- End-to-End AI/ML Features : Design, build, and deploy advanced AI/ML solutions for dog behavior pattern analysis, food consumption prediction, proactive health monitoring, disease detection, and risk factor assessment, working with various kinds of data, including numerical, image, video, and language data.

- Transform Raw Data into Insights : Clean, standardize, analyze, and visualize diverse datasets collected from our IoT devices, pet parent app responses, and partnered databases to extract meaningful insights.

- Optimize and Innovate : Futuristic R& D. Continuously improve the accuracy and performance of existing models and algorithms in production, while also developing novel algorithms and models for new features.

- Collaborate Cross-Functionally : Work closely with veterinarians to integrate their expertise into our models and solutions, and partner with the research team to formulate and refine AI strategies.

Requirements :

- Machine Learning Expertise : Proficient in various machine learning algorithms, with a strong emphasis on time-series analysis, anomaly detection, and pattern recognition.

- Data Proficiency : Expert-level skills in data analysis and data visualization, capable of presenting complex insights clearly and effectively to diverse audiences.

- Programming & Libraries : Highly proficient in Python, with hands-on experience using libraries such as TensorFlow, PyTorch, scikit-learn, and OpenCV.

- End-to-End ML Solutions : Proven experience in developing and deploying end-to-end machine learning solutions, from data preprocessing and model training to deployment and monitoring.

- Big Data Handling : Demonstrated ability to work with and derive actionable insights from large, complex datasets.

- Problem-Solving : Strong analytical and problem-solving skills, with a track record of troubleshooting and resolving complex technical challenges independently.

- Database Knowledge : Solid understanding of database management systems for efficient storage and retrieval of large-scale pet health data.

Additional Required Skills :

- Experience with Natural Language Processing (NLP) for understanding and interpreting user inputs.

- Prior experience on projects involving health monitoring, behavior analysis, or recommendation systems.

- 2+ LoRs or references from previous employers or university professors.