ML Engineer: Agriculture Analytics & Predictive Modeling

GetJobSmart; San Antonio (TX); On-site; USD 130,000 - 173,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan with company匹配

Professional development opportunities

Job summary

Juniper Central Corp. in San Antonio, TX is seeking a Machine Learning Engineer to design and implement ML models, collaborate with a large team of data scientists and software engineers, and deploy scalable solutions.

The role requires a strong background in machine learning, Python, and data analysis, with exposure to TensorFlow or PyTorch and cloud platforms like AWS or GCP. The position offers full-time employment and a competitive salary.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, or related field.
• 3+ years of experience in machine learning.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms like AWS or GCP is a plus.

Responsibilities

• Develop and implement machine learning models to analyze agricultural data and predict outcomes.
• Collaborate with data scientists and engineers to integrate ML solutions into existing systems.
• Optimize ML algorithms to improve accuracy and performance.
• Conduct research to stay updated with ML advancements and data science trends.
• Document findings and communicate results to stakeholders.
• Participate in code reviews and provide constructive feedback.

Skills

Python programming

Data analysis

Machine learning

Communication

Education

Bachelor's/Master's in CS/DS/related field

Tools

TensorFlow

PyTorch

scikit-learn

AWS/GCP

Job description

Juniper Central Corp. in San Antonio, TX is seeking a Machine Learning Engineer to design and implement ML models, collaborate with a large team of data scientists and software engineers, and deploy scalable solutions.

The role requires a strong background in machine learning, Python, and data analysis, with exposure to TensorFlow or PyTorch and cloud platforms like AWS or GCP. The position offers full-time employment and a competitive salary.