Role & Responsibilities :
We are currently looking for a Data Engineer + Instructor Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching / mentoring students in core data science and engineering topics.
Key Responsibilities :
- Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", BigData and Data Analytics courses, covering the full syllabus from foundational concepts to advanced techniques.
- Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering.
- Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering and Anomaly Detections.
- Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software.
- Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs).
- Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle).
- Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge.
- Contribute to the academic and research environment of the department and the university.
Ideal Candidate :
A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus.Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging.Excellent communication and interpersonal skills.Preferred Qualifications :
A strong record of academic publications in reputable data mining, machine learning, or AI conferences / journals.Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role.Experience with big data technologies (e.g., Spark, Hadoop) and / or deep learning frameworks (e.g., TensorFlow, PyTorch).Experience in mentoring student teams for data science competitions or hackathons.Perks, Benefits and Work Culture :
Competitive salary packages aligned with industry standards.Access to state-of-the-art labs and classroom facilities.Contribution to cutting-edge academic work in collaboration with the Newton School of Technology and Rishihood University, Sonipat, and Ajeenkya DY Patil University(ref : hirist.tech)