At PriceAdvantage, a division of Skyline Products, we have revolutionized the way fuel marketers price fuel by giving them easier access to real-time data, eliminating manual processes, and decreasing the time it takes to accurately execute fuel price changes. With these core competencies, PriceAdvantage has helped fuel retailers across the country increase their profitability in a truly meaningful way. The ideal candidate will have a strong background in machine learning algorithms and data analysis, with experience in developing and deploying machine learning models. This role involves collaborating with cross-functional teams to enhance our data-driven decision-making processes and improve product offerings. We are looking for a Machine Learning Engineer to join our team, where you will play a key role in developing cutting-edge AI and machine learning models that drive innovative solutions across various applications. You will work with cross-functional teams to design, build, and deploy intelligent systems that improve performance, efficiency, and user experiences. Your expertise in AI algorithms, machine learning frameworks, data analysis, and software development will contribute to solving complex business problems and advancing our technological capabilities. Key Responsibilities: 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 a variety of domains. Continuously improve model performance through experimentation, hyperparameter tuning, and model evaluation. Stay updated with the latest trends in AI and machine learning research to apply cutting-edge technologies and techniques. Troubleshoot and resolve issues related to machine learning models and AI applications. Implement best practices in coding, version control, and continuous integration for AI/ML projects. Required Skills & Qualifications: 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++. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). 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. Preferred Qualifications: Familiarity with data engineering concepts and tools, including ETL processes and data warehousing. Knowledge of distributed computing and high-performance computing (HPC) for scaling machine learning models. Familiarity with Agile methodologies and version control systems (e.g., Git). Why Join Us? As part of our dynamic team, you will have the opportunity to work on some of the most exciting and impactful AI and machine learning projects in the industry. We foster a collaborative environment where innovation is encouraged, and we provide the tools and resources you need to grow your career in AI and machine learning. Job Type: Full-time Benefits: 401(k) 401(k) matching Dental insurance Employee assistance program Health insurance Health savings account Life insurance Paid time off Vision insurance Schedule: Day shift Monday to Friday Work Location: Remote