Machine Learning Engineer | Sponsor US H1B

Meriti Inc; Brasil; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

An innovative company is looking for a talented Machine Learning and Data Engineer to join their dynamic team. In this exciting role, you will develop advanced image-based solutions for plant phenotyping while collaborating with experts in various fields. Your contributions will enhance data accessibility and support the deployment of machine-learning models. This role offers a unique opportunity to work remotely while engaging with cutting-edge technologies in a vibrant and supportive environment. If you are passionate about data science and eager to make a significant impact, this position is perfect for you.

Qualificações

• Master's degree in relevant fields required.
• Experience with Machine Learning and Deep Learning essential.

Responsabilidades

• Develop image-based solutions for plant phenotyping.
• Collaborate with cross-functional teams to ensure data availability.
• Automate model training and deployment processes.

Conhecimentos

Machine Learning

Deep Learning

Python Programming

Image Processing

Data Management

Communication Skills

Formação académica

Master’s degree in Data Science

Master’s degree in Computer Science

Master’s degree in Electrical Engineering

Ferramentas

TensorFlow

PyTorch

SQL

Git

Azure

GCP

PySpark

Data Bricks

Descrição da oferta de emprego

We are seeking a highly skilled and versatile Machine Learning and Data Engineer to join our team. This role involves developing sophisticated image-based solutions for plant phenotyping and pulling, stitching, and wrangling data from various sources for advanced analytics. The successful candidate will work on a cross-functional team, collaborating closely with crop scientists, plant pathologists, cloud engineers, and data scientists to enable access to relevant data and deploy machine-learning models and solutions.

Responsibilities:

• Develop and implement image-based solutions for quantifying various traits and features of plants.
• Pull data from first and third-party sources, prepare it for analysis by filtering, tagging, joining, parsing, and normalizing datasets.
• Collaborate with team members to research data sources, design and deploy data loaders, and ensure the availability of data for analytical activities.
• Provide technical expertise in the design and implementation of data management and architecture solutions.
• Develop, evolve, and implement concepts of data ops in partnership with cloud and ML engineers.
• Architect, develop, deliver, and support ML products and solutions, ensuring successful deployment into production.
• Automate model training, testing, and deployment processes.
• Design, develop, and maintain scalable data pipelines and ETL processes.

Requirements:

• Master’s degree or higher in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Robotics, Physics, Mathematics, or related fields.
• Deep understanding and experience with Image Theory, Deep Learning, Machine Learning, Python Programming, TensorFlow, or PyTorch.
• Strong experience in designing and implementing large-scale data processing, analysis, and exploration solutions.
• Proficiency in R, Python, advanced SQL 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 work independently and collaborate across teams.
• 2+ years of industry or academia experience in image processing, computer vision, or related fields.
• Location: Remote, candidates must work in the PST time zone.
• Work Hours: 40 hours per week.
• We sponsor US work visa after 1 year of service.

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology