Skyline Products, Inc. ยท 3 hours ago
AI Machine Learning Engineer
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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.
Qualification
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Required
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
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).
Benefits
401(k)
401(k) matching
Dental insurance
Employee assistance program
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance