ML Engineer: Build Scalable Models & Cloud Pipelines

Nimbus National Inc.; Philadelphia (Philadelphia County); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Professional development

Flexible schedule

Work-life balance

Job summary

Nimbus National Inc. in Philadelphia, PA, is hiring a Machine Learning Engineer. This full-time role offers a negotiable salary and a chance to work on cutting-edge ML solutions in a collaborative environment.

You will develop and deploy ML models to address complex business challenges, collaborate with data scientists, software engineers, and product managers, and design robust ML pipelines. A Master's degree and strong Python/TensorFlow/scikit-learn experience are required.

Qualifications

• Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in machine learning and software development.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms such as AWS or GCP and SQL.

Responsibilities

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with data scientists, software engineers, and product managers to deliver end-to-end ML solutions.
• Design and maintain machine learning pipelines and infrastructure.
• Conduct research and stay up-to-date with the latest advancements in ML.
• Evaluate and optimize models for performance, scalability, and accuracy.
• Document and communicate ML solutions to stakeholders.
• Ensure compliance with data privacy and security regulations.

Skills

ML engineering experience

Python programming

Cross-functional collaboration

Education

Master's degree in CS/Engineering/related field

Tools

TensorFlow

scikit-learn

PyTorch

AWS

GCP

SQL

Job description

Nimbus National Inc. in Philadelphia, PA, is hiring a Machine Learning Engineer. This full-time role offers a negotiable salary and a chance to work on cutting-edge ML solutions in a collaborative environment.

You will develop and deploy ML models to address complex business challenges, collaborate with data scientists, software engineers, and product managers, and design robust ML pipelines. A Master's degree and strong Python/TensorFlow/scikit-learn experience are required.