Aquabyte is seeking a Machine Learning Engineer to develop and deploy new algorithms to fish farms across the world, aiming to revolutionize the sustainability and efficiency of aquaculture by making fish farming more efficient and viable, promoting healthy production of low carbon protein and mitigating climate change.
Requirements
- Strong coding ability; strong grasp of Python, SQL
- Strong data analytics & modeling & ML skills
- Strong data pipeline and data management skills
- Strong software engineering skills; knowledge of best practices, testing, and deployment
- Familiarity with; snowflake, dbt, airflow, pandas
- Experience with Docker and cloud SW development (i.e. AWS)
Responsibilities
- responsible for software and machine learning model development of our on-camera and cloud software
- developing Machine Learning models and pipelines
- interacting with databases and data infrastructure
- Conducting in-depth data analytics
- building statistical data inference models of biological processes
- develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations
- work closely alongside engineers with years of industry and academic experience
Other
- BS/MS in relevant technical degree
- 3+ years of experience with data-science
- Potential travel to Norway
- Evolve in a fast-paced environment
- Be able to shape a business in its early days
