Data Science Engineer

Company Overview

At Fond, we're on a mission to redefine pet care through cutting-edge technology and untapped market potential. Fond aims to use deep tech to solve the problems faced by pet parents globally. We here at Fond, want to be the voice for the voiceless. Lot of problems arriving in old age for dogs can be avoided by preventive measures by pet parents. The goal is to provide pet parents with a complete ecosystem for pet care, so that they can make informed decisions for their pet. Currently, With our flagship product, FluffFit, we're charting a new course in personalised health monitoring. It's your dog's care companion. FluffFit monitors daily activities, sleep patterns, body temperature, and even location. And Complementing FluffFit we have Foodie : An automatic smart food dispenser, which can be personalised for a particular pet. Fond is at the forefront of promoting pet well-being. Join us in ushering in a new era of pet care, where innovation meets love. In addition to this, many products and services are in the pipeline, which can help ease a pet & its parent's life.

Roles and 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
• Proven Experience :

○ A Degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

○ Relevant certifications in machine learning, deep learning, or data science are a plus.

○ A portfolio of relevant projects, research papers, or publications demonstrating your expertise in machine learning, data analysis, or pet health.

○ We are looking for a highly skilled engineer with a strong foundation and interest in AI / ML and a passion for data-driven solutions. While years of experience are not the sole criterion, a demonstrated ability to deliver complex projects end-to-end is crucial.

○ 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.

○ Strong problem-solving and analytical skills.

○ Excellent communication and collaboration skills.

○ Ability to work independently and as part of a team.

○ Ability to conceptualize and implement practical, impactful solutions.

○ Eager to experiment and learn different solutions and think out of the box.

○ Passion for learning new technologies and staying up to date with industry trends.

○ 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.

What You'll Get