Lead Data Scientist (Computer Vision)

ThisFish Inc. is an innovative company focused on tackling global food system challenges through advanced technologies. The Lead Data Scientist (Computer Vision) will drive AI strategy, mentor junior employees, and manage a portfolio of projects involving computer vision and machine learning to improve seafood processing and quality control.

Responsibilities:

• Lead, develop and deploy computer vision projects from start to finish
• Develop data collection, annotation and pre-processing methodologies for projects
• Test modern computer vision algorithms such as YOLO or CNN to solve classification, object detection, or other image processing problems
• Deploy models into production systems for real-time processing in partnership with customers
• Define evaluation frameworks and metrics aligned with real-world performance requirements
• Continuously iterate on model architectures and training strategies based on feedback
• In collaboration with domain experts, analyze factory datasets for insights to inform the development of AI-enabled solutions to solve practical problems
• Analyze data using exploratory mathematic and statistical techniques and tools such as R or Python and key data science libraries such as numpy, scipy, pandas, pymc3, scikit-learn, matplotlib, keras and pytorch in python or the tidyverse libraries in R
• Process, cleanse, and verify the integrity of data used for analysis
• Provide insights into improving our data collection methodology
• Present results of analyses with visualizations and clear explanations to domain experts and other interested parties
• Write SQL queries and Python scripts to process data and enable machine learning
• Pioneer the use of generative AI agents across both internal and external use cases
• Work with other teams and departments to optimize workflows and tasks by building AI agents using Gemini and other LLMs
• Build and integrate agents into our customer facing application to solve customer problems
• Ensure generative AI is part of the strategy for the growth and optimization of the data science department
• Design and build cloud infrastructure that enables the training of machine learning models over millions of historical data points
• Develop infrastructure on Google Cloud Platform to store large datasets for training machine learning algorithms
• Build edge computing solutions for real-time computer vision hardware integrations
• Optimize infrastructure with consideration for pricing efficiency
• Ensure our ETL is reliable, scalable and meets the needs of the business
• Manage and mentor the data science team, taking care of administrative tasks and building a culture of performance
• Design and implement a standardized installation and rollout procedure to quickly get new customers onboard with AI applications
• Keep our task tracking board completely up to date, and provide bi weekly updates to senior management on project progress
• Develop, manage and update department OKRs
• Manage relationships with external contractors, including assessing the need for hiring them, reviewing proposals, hours management and project reporting
• Mentor and manage any junior employees in the data science department, including weekly check ins, task management, performance improvements and career progression
• Work remotely in a distributed, multicultural team contributing to company strategy, culture and product roadmap
• Proactive communication to facilitate strong team collaboration across time zones
• Contribute thoughtfully to team meetings and strategy sessions
• Excellent verbal and written communication in English