Experience Required
5 - 10 years
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 Masters 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
learning,data science,computer science,big data,machine learning,analytics,data
Company Size Mid-Sized Experience Required 5 - 10 years Working Days 5 days/week Office Location Lohegaon Pune Map Role & Responsibilities We are currently looking for a Data Engineer Instructor Data Mining to join our Computer Science Department. This is a full-time...
Experience Required
5 - 10 years
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 Masters 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
learning,data science,computer science,big data,machine learning,analytics,data
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