Meriti Inc
23/04/2025
Project Overview:
We are seeking a highly skilled andversatile Machine Learning and Data Engineer to join our team. Thisrole involves developing sophisticated image-based solutions for plantphenotyping and pulling, stitching, and wrangling data from varioussources for advanced analytics. The successful candidate will work ona cross-functional team, collaborating closely with crop scientists,plant pathologists, cloud engineers, and data scientists to enableaccess to relevant data and deploy machine-learning models andsolutions.
Responsibilities:
* Developand implement image-based solutions for quantifying various traits andfeatures of plants.
* Pull data from first and third-partysources, prepare it for analysis by filtering, tagging, joining,parsing, and normalizing datasets.
* Collaborate with teammembers to research data sources, design and deploy data loaders, andensure the availability of data for analytical activities.
* Provide technical expertise in the design and implementationof data management and architecture solutions.
* Develop,evolve, and implement concepts of data ops in partnership with cloudand ML engineers.
* Architect, develop, deliver, and support MLproducts and solutions, ensuring successful deployment intoproduction.
* Automate model training, testing, and deploymentprocesses.
* Design, develop, and maintain scalable datapipelines and ETL processes.
Requirements:
* Master’s degree or higher in Data Science, ComputerScience, Computer Engineering, Electrical Engineering, Robotics,Physics, Mathematics, or related fields.
* Deep understandingand experience with Image Theory, Deep Learning, Machine Learning,Python Programming, TensorFlow, or PyTorch.
* Strong experiencein designing and implementing large-scale data processing, analysis,and exploration solutions.
* Proficiency in R, Python, advancedSQL skills, and a good understanding of data management principles.
* Experience with cloud technologies (Azure or GCP preferred)and deploying CI/CD pipelines.
* Knowledge of Git, PySpark,Data Bricks, and database management (SQL/PLSQL/Snowflake preferred).
* Excellent communication skills and the ability to workindependently and collaborate across teams.
* 2+ years ofindustry or academia experience in image processing, computer vision,or related fields.
* Location: Remote, candidates must work in the PST timezone.
* Work Hours: 40 hours per week.
* We sponsor USwork visa after 1 year of service
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