AI Predictive Machine Learning Engineer

February 18

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Skyline Products, Inc.

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Skyline Products, Inc. is a company specializing in electronic price signs, LED display systems, and traffic management solutions. With over 45 years of design and engineering experience, they provide high-quality products such as LED price signs and dynamic message signs for the transportation and fuel retailing industries. They focus on delivering innovative technology, reliability, and exceptional service to help clients effectively manage pricing and improve visibility in competitive markets.

Dynamic Message Signs • Electronic Price Signs • Manufacturing • Fuel Pricing Software

201 - 500 employees

Founded 1970

🛒 Retail

☁️ SaaS

📋 Description

• Design, develop, and implement AI-driven solutions using machine learning techniques, deep learning, natural language processing (NLP), and computer vision. • Build, train, and optimize machine learning models to analyze large datasets and derive actionable insights. • Develop and integrate machine learning algorithms into production systems, ensuring scalability and performance. • Collaborate with data scientists, software engineers, and other stakeholders to define system requirements, data pipelines, and performance metrics. • Utilize big data tools and frameworks to process, analyze, and extract insights from large datasets in various domains. • Continuously improve model performance through experimentation, hyperparameter tuning, and model evaluation. • Stay updated with the latest AI and machine learning research trends to apply cutting-edge technologies and techniques. • Implement best practices in coding, version control, and continuous integration for AI/ML projects.

🎯 Requirements

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). • Troubleshoot and resolve issues related to machine learning models and AI applications. • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. • Strong proficiency in programming languages such as Python, Java, or C++. • Solid understanding of AI techniques, including supervised and unsupervised learning, reinforcement learning, NLP, and deep learning. • Proficiency in data manipulation and analysis using tools such as Pandas, NumPy, and SQL. • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML models. • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). • Strong problem-solving and analytical skills, with the ability to work on complex data-driven projects. • Excellent communication skills and the ability to work collaboratively in a multidisciplinary team.