<p><strong>Job Title:</strong> AI Engineer – Data Mining Specialist</p><p><strong>Location:</strong> [Insert Location] / Remote</p><p><strong>Experience:</strong> 3+ years</p><p><strong>Employment Type:</strong> Full-time</p><p><strong>Salary:</strong> [Insert Salary Range]</p><p><strong>Industry:</strong> Artificial Intelligence / Data Science / Analytics</p><h3><strong>Job Description:</strong></h3><p>We are seeking a talented and motivated <strong>AI Engineer with strong expertise in Data Mining</strong> to join our team. The ideal candidate will have a deep understanding of machine learning, data mining techniques, and data processing workflows. You will work closely with data scientists, product managers, and engineering teams to develop scalable AI-driven solutions that drive meaningful business outcomes.</p><h3><strong>Key Responsibilities:</strong></h3><ul><li>Design and develop AI models with a focus on large-scale data mining and pattern extraction.</li><li>Apply machine learning, deep learning, and statistical modeling techniques to solve complex business problems.</li><li>Build robust data pipelines and perform data wrangling, preprocessing, and analysis on structured and unstructured datasets.</li><li>Work with cross-functional teams to integrate AI solutions into production systems.</li><li>Monitor, evaluate, and continuously improve model performance and accuracy.</li><li>Stay updated with the latest research and trends in AI, machine learning, and data mining.</li></ul><h3><strong>Required Skills &amp; Qualifications:</strong></h3><ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.</li><li>3+ years of experience in AI/ML, data mining, or a related domain.</li><li>Strong programming skills in Python, with experience in libraries like Pandas, Scikit-learn, NumPy, TensorFlow, or PyTorch.</li><li>Solid understanding of data mining techniques such as clustering, classification, association rules, and anomaly detection.</li><li>Experience with data handling tools (SQL, Spark, Hadoop, etc.) and building data pipelines.</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.</li><li>Excellent problem-solving skills and ability to work independently or in a team.</li></ul><h3><strong>Preferred Skills:</strong></h3><ul><li>Knowledge of NLP, recommender systems, or graph mining techniques.</li><li>Experience in deploying machine learning models in production.</li><li>Familiarity with MLOps tools and practices.</li></ul><p><br></p>

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