Machine Learning Engineer

GetJobSmart; San Antonio (TX); Sur place; USD 130 000 - 173 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) retirement plan with company匹配

Professional development opportunities

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python programming

Data analysis

Machine learning

Communication

Formation

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

Outils

TensorFlow

PyTorch

scikit-learn

AWS/GCP

Description du poste

As a Machine Learning Engineer at Juniper Central Corp. in San Antonio, TX, you will be working full-time with a salary range of $130,000 to $172,568. This role involves developing and implementing machine learning algorithms to solve complex problems. You will collaborate with a team of data scientists and software engineers to design, train, and deploy machine learning models. The position requires a strong background in machine learning, programming, and data analysis. Juniper Central Corp. is a leading company in the technology industry, and this role offers the opportunity to work on innovative projects that can make a significant impact. If you are passionate about machine learning and want to work in a dynamic and collaborative environment, this could be the perfect opportunity for you. The application deadline for this position is November 23, 2026.

Design and implement machine learning models to analyze agricultural data, predict crop yields, and optimize farming practices. Collaborate with data scientists and software engineers to develop scalable solutions.

Work in a team of 50+ engineers and data scientists in San Antonio, TX. Collaborate with cross-functional teams to deliver high-quality machine learning solutions.

The salary range for this position is between $130,000 and $172,568 per year, providing a competitive compensation package.

• Employees can expect comprehensive health insurance coverage, which includes medical, dental, and vision plans.
• Additionally, the company offers a 401(k) retirement plan with a generous matching contribution, helping employees save for their future.
• Professional development opportunities are also available, such as tuition reimbursement, workshops, and access to online courses, allowing employees to enhance their skills and advance their careers.

Bachelor's degree in Computer Science, Electrical Engineering, or related field. 3+ years of experience in machine learning and Python. Proficiency in TensorFlow and PyTorch.

What You Will Do:

• Develop and implement machine learning models to analyze and predict agricultural data.
• Collaborate with cross-functional teams to integrate machine learning solutions into our existing systems.
• Optimize machine learning algorithms to improve prediction accuracy and performance.
• Conduct research to stay updated with the latest advancements in machine learning and data science.
• Document and communicate your findings and solutions to stakeholders.
• Participate in code reviews and provide constructive feedback to other team members.

What You Bring:

• A Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Machine Learning Engineer, with a portfolio of successful projects.
• Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, and scikit-learn.
• Knowledge of statistical methods and data analysis techniques.
• Experience with cloud platforms like AWS or GCP.
• Excellent problem-solving skills and the ability to work independently and as part of a team.