Machine Learning Engineer | Sponsor US H1B

Meriti Inc; Jaboatão dos Guararapes; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading company is seeking a highly skilled Machine Learning and Data Engineer to develop image-based solutions for plant phenotyping. The role involves collaborating with cross-functional teams to manage data and deploy machine learning models. Candidates must have a strong background in data science and relevant programming skills.

Serviços

US work visa sponsorship after 1 year

Qualificações

• Master’s degree or higher in relevant fields required.
• 2+ years of experience in image processing or related fields.

Responsabilidades

• Develop and implement image-based solutions for plant phenotyping.
• Collaborate with team members to design and deploy data loaders.
• Architect, develop, and support ML products and solutions.

Conhecimentos

Python Programming

Deep Learning

Machine Learning

Communication

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

PySpark

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:

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

Requirements:

1. Master’s degree or higher in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Robotics, Physics, Mathematics, or related fields.
2. Deep understanding and experience with Image Theory, Deep Learning, Machine Learning, Python Programming, TensorFlow, or PyTorch.
3. Strong experience in designing and implementing large-scale data processing, analysis, and exploration solutions.
4. Proficiency in R, Python, advanced SQL skills, and a good understanding of data management principles.
5. Experience with cloud technologies (Azure or GCP preferred) and deploying CI/CD pipelines.
6. Knowledge of Git, PySpark, Data Bricks, and database management (SQL/PLSQL/Snowflake preferred).
7. Excellent communication skills and the ability to work independently and collaborate across teams.
8. 2+ years of industry or academia experience in image processing, computer vision, or related fields.

Additional Details:

• 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.