Remote AI Predictive Machine Learning Engineer

Description:

• PriceAdvantage, a division of Skyline Products, is seeking a Remote Machine Learning Engineer to enhance data-driven decision-making processes and improve product offerings.
• The role involves designing, developing, and implementing AI-driven solutions using machine learning techniques, deep learning, natural language processing (NLP), and computer vision.
• Responsibilities include building, training, and optimizing machine learning models to analyze large datasets and derive actionable insights.
• The engineer will develop and integrate machine learning algorithms into production systems, ensuring scalability and performance.
• Collaboration with data scientists, software engineers, and other stakeholders is essential to define system requirements, data pipelines, and performance metrics.
• The position requires utilizing big data tools and frameworks to process, analyze, and extract insights from large datasets.
• Continuous improvement of model performance through experimentation, hyperparameter tuning, and model evaluation is expected.
• Staying updated with the latest AI and machine learning research trends to apply cutting-edge technologies and techniques is crucial.
• Best practices in coding, version control, and continuous integration for AI/ML projects must be implemented.

Requirements:

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

Benefits:

• The compensation for this position ranges from $100,000 to $120,000 depending on experience.
• Joining the dynamic team offers the opportunity to work on exciting and impactful AI and machine learning projects in the industry.
• The company fosters a collaborative environment where innovation is encouraged.
• Tools and resources are provided to support career growth in AI and machine learning.
• Skyline Products is an Equal Opportunity Employer, ensuring all decisions are made without regard to legally protected statuses.