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.

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.