Faculty For Data Engineering & Machine Learning

Rishihood University; Sonipat; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

RishihoodUniversity invites applications for Faculty positions in Data Engineering & Machine Learning. Roles include Assistant Professor, Associate Professor or Professor, on-campus, full-time, to lead the Data Science track spanning foundations to production ML, capstone projects, and curriculum design.

Candidates should hold an MTech or PhD or equivalent, with strong depth in supervised learning, data engineering, ML deployment, and a track record of teaching or industry collaboration.

Qualifications

• Requires MTech or PhD (or equivalent) in a relevant field.
• Demonstrated expertise in data science topics and machine learning deployment.

Responsibilities

• Teach Foundations of Data Science, Data Mining and Warehousing, Machine Learning, and Supervised Learning.
• Run labs with ETL pipelines and practical projects.
• Guide capstone projects with cross-validation and production readiness checks.
• Lead MLOps integration into the curriculum and seminars on data governance and fairness.
• Own curriculum design, faculty hiring, and track outcomes as Track Lead.

Skills

Supervised learning

Data engineering

Python data science stack

Model evaluation metrics

MLOps & cloud deployment

Education

MTech or PhD or equivalent in a relevant field

Tools

AWS SageMaker

Azure ML Studio

GCP

Job description

Faculty For Data Engineering & Machine Learning

Position: AssistantProfessor/Associate Professor/Professor

Track: DataEngineering & Machine Learning

Location: Sonepat,NCR of Delhi.

Mode: Full Time;On-Campus

Programme: B. TechCS and Data Science

ABOUT US

RishihoodUniversity (RU) has been established under The Haryana Private Universities(Amendment) Act, 2020 and is empowered to award degree as specified in section22 of UGC Act, 1956.

RishihoodUniversity is India’s first and only impact university. ‘Impact’ is the livingspirit of Rishihood. The purpose of education envisioned by the thought leadersof our civilization and that which has motivated the founders to buildRishihood University is beyond just awarding degrees and jobs. The purpose ofeducation is to achieve the highest potential in a learner i.e., Rishihood.Rishihood University provides a unique mix of globally relevant education thatis rooted in Indian ideas, quality education that is affordable, and amulti-disciplinary exposure with cutting edge skills of a specialist. Toachieve this outcome, education cannot be limited to within the classrooms. RUis a fully residential campus where living and learning seamlessly integratethroughout the day. RU faculty and learners have an active participation withsociety, industry, researchers, entrepreneurs, and policy makers. This keepsthe learning at RU focused on solving the biggest challenges faced by humanityand prepares our learners for the real world. It is time India buildsuniversities driven by a higher purpose, that have a strong committed board toback it, that redefine the way education is imparted both within and outsidethe classroom. Rishihood is a bold initiative to fulfillthisidea.Hence, we are looking for like-minded founding faculty members at RishihoodUniversity.

About Position

Track | TheDS Core

Foundations ofData Science Data Mining and Warehousing Machine Learning Supervised Learning

India producessome of the world's best data scientists. Most of them were trained to usetools. We want to train students who can build the tools and understand deeplywhy they work. That is the difference between an execution hub and a technologydefining nation. This track is where that shift starts.

You will join Rishihoodas a Faculty at the heart of what makes this a Data Science programme and notjust another CS degree with a few ML electives tagged on. The DS Core takesstudents from raw data to predictive intelligence. As you grow into the TrackLead role, you will own this domain entirely: designing the learning arc fromdata foundations to production grade ML, building the faculty team, and holdingthe standard of every student who graduates from it.

Requirements

KeyResponsibilities

1. Teach Foundationsof Data Science, Data Mining and Warehousing, Machine Learning, and SupervisedLearning

2. Run labs thatfeel like real professional work: ETL pipelines with messydatasets, modelsthat students deploy rather than just submit as notebooks

3. Guide capstoneprojects with rigorous validation: K fold cross validation, A/B testing, and production readiness checks

4. Lead MLOpsintegration into the curriculum and run seminars on data governance, GDPR,DPDP, and algorithmic fairness

5. Own curriculumdesign, faculty hiring, and the output standard for this track as Track Lead

Job Specifications

You should hold anMTech, PhD, or equivalent in a relevant field. Beyond the degree, here is whatwe actually care about.

Technical Depth

• Expert knowledge of supervisedlearning (Decision Trees, SVM, Random Forest, XGBoost, linear and logisticregression) and data engineering (Star and Snowflake schemas, ETLorchestration, Data Lakes vs Warehouses)
• Python data science stack: scikitlearn, Pandas, NumPy, advanced SQL; model evaluation at depth: PrecisionRecall, F1 Score, ROC AUC, cross validation
• Working understanding of MLOps inpractice and familiarity with cloud ML deployment on AWS SageMaker, AzureML Studio, or GCP

The Person

• You care about data quality as muchas model sophistication, correct someone's thinking not just their code,and always ask whether it actually works when deployed
• You can translate real industryexperience into classroom substance that students recognize as genuine

Good to Have

• Industry experience as a Senior DataEngineer, ML Engineer, or ML Architect in a product based company
• Strong Kaggle ranking or open sourceML contributions; experience deploying ML models at scale in cloudenvironments

This jobdescription is not intended to be all-inclusive. The employee may be expectedto perform other duties as assigned by the supervisor.