Machine Learning Engineer | Sponsor Us H1B

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