Machine Learning Engineer

Granite North LLC; Miami (FL); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health insurance: medical, dental, and

401(k) with company match

Professional development opportunities

Job summary

Granite North LLC, a data analytics and AI solutions firm, is seeking a Machine Learning Engineer in Miami, FL. The role focuses on designing, developing, and deploying ML models to solve real business problems and to enhance client outcomes.

You will collaborate with data scientists, software engineers, and stakeholders to deliver robust solutions. The position offers negotiable salary based on experience, with a strong emphasis on hands-on experimentation, rigorous evaluation, and continuous

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or related field.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Proficiency in Python and SQL.
• Knowledge of cloud platforms like AWS or GCP.

Responsibilities

• Design, develop, and deploy machine learning models to solve business problems.
• Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.
• Optimize and maintain existing machine learning models to ensure performance and accuracy.
• Conduct experiments and data analysis to improve model performance.
• Document model architectures, parameters, and performance metrics for future reference.
• Stay updated with the latest advancements in ML and AI technologies.

Skills

Communication

Collaboration

Python programming

Analytical thinking

Education

Master's degree in Computer Science / Electrical Engineering or related field

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

SQL

AWS

GCP

Job description

Granite North LLC, a data analytics and AI solutions firm, seeks a Machine Learning Engineer in Miami, FL. This is a FULL_TIME position with a negotiable salary, open until 2026-11-22.

As a Machine Learning Engineer, you will develop and implement machine learning models to solve complex business problems. You will collaborate with cross-functional teams to understand business needs and translate them into technical solutions.

You will be part of a vibrant and collaborative team in Miami, Florida, where your contributions will directly influence the success of various projects. These projects will have a significant impact on the operations and outcomes of our clients, helping them achieve their goals more effectively. In this dynamic environment, you will have the opportunity to work alongside talented professionals, sharing ideas and knowledge to drive innovation and excellence. Your role will be crucial in ensuring that our projects are completed on time, within budget, and to the highest standards, ultimately benefiting our clients and their stakeholders.

The salary for this position is negotiable based on the candidate's experience and qualifications.

• The company offers comprehensive health insurance coverage, including medical, dental, and vision plans.
• Employees also have access to retirement plans such as a 401(k) with a company match, providing financial security for the future.
• Furthermore, the company is committed to professional development, offering opportunities for training, workshops, and certifications to help employees grow in their careers.

You must have a Master's degree in Computer Science, Electrical Engineering, or a related field. You should have experience with machine learning frameworks like TensorFlow or PyTorch. Proficiency in Python and SQL is required. Knowledge of cloud platforms like AWS or GCP is a plus.

What You Will Do:

• Design, develop, and deploy machine learning models to solve business problems.
• Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.
• Optimize and maintain existing machine learning models to ensure they meet performance and accuracy standards.
• Conduct experiments and perform data analysis to improve model performance.
• Document model architectures, parameters, and performance metrics for future reference.
• Stay updated with the latest advancements in machine learning and AI technologies.

What You Bring:

• A Master's degree in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.
• Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, and scikit-learn.
• Experience with SQL and data manipulation tools like Pandas.
• Knowledge of cloud platforms such as AWS or GCP.
• Understanding of software engineering principles and best practices.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.