Machine Learning Engineer

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., a prominent player in insurance and financial services, is hiring a Machine Learning Engineer in Philadelphia, PA. This full-time position offers a negotiable salary and is open until November 22, 2026.

As a Machine Learning Engineer, you will develop and implement machine learning models to address complex business challenges. You will collaborate with cross-functional teams to create innovative solutions that enhance business performance.

You will be an integral member of a dynamic and collaborative team in Philadelphia, PA, where the spirit of innovation and teamwork is palpable. The city's rich cultural scene, with its vibrant arts, diverse cuisine, and historic landmarks, will provide ample opportunities for personal and professional growth. Additionally, Philadelphia offers excellent amenities, including top-rated healthcare facilities, world-class museums, and a variety of recreational activities, ensuring a high quality of life for you and your family.

The salary for this position is negotiable, based on the candidate's experience, qualifications, and the specific requirements of the role. Benefits include comprehensive health insurance coverage, a retirement plan with employer matching contributions, and opportunities for professional development, such as workshops, training programs, and access to industry conferences. Additionally, the company offers a flexible work schedule and a supportive work environment that encourages work-life balance.

To excel in this role, you should have a Master's degree in Computer Science, Engineering, or a related field. Experience with Python, TensorFlow, and scikit-learn is essential. Knowledge of SQL and cloud platforms like AWS or GCP is a plus.

Develop and implement machine learning models to solve complex business problemsCollaborate with data scientists, software engineers, and product managers to deliver end-to-end machine learning solutionsDesign and maintain machine learning pipelines and infrastructureConduct research and stay up-to-date with the latest advancements in machine learningEvaluate and optimize machine learning models for performance, scalability, and accuracyDocument and communicate machine learning solutions to stakeholdersEnsure compliance with data privacy and security regulationsBachelor's degree in Computer Science, Statistics, Mathematics, or a related field3+ years of experience in machine learning and software developmentProficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learnExperience with cloud platforms such as AWS or GCPStrong understanding of data structures, algorithms, and software engineering principlesExperience with SQL and relational databasesAbility to work in a collaborative, fast-paced environmentExcellent communication and problem-solving skills