Designation : Faculty/Senior Faculty - Data Science & Machine Learning

Job location: Delhi(Lado Sarai)

Work Type: Hydrid

Job Type: Full Time

Company Overview:

Join an exciting, innovative, and rapidly growing startup backed by the esteemed Hero Group, one of the largest and most respected business houses in the country. Hero Vired offers a premium learning experience, delivering industry-relevant programs and fostering world-class partnerships to shape the change-makers of tomorrow.

We believe in unlocking the potential of every individual, leveraging the vast experience, knowledge, and expertise of the Hero Group. Our mission is to revolutionize the way we learn by providing learners with comprehensive and deeply engaging experiences closely aligned with industry needs. We empower learners to transform their aspirations into reality through high-impact online certification and degree programs, disrupting and reimagining university education and skilling for working professionals.

The Hero Group, a renowned conglomerate with a diverse portfolio valued at US$5 billion, encompasses leading Indian companies in automotive manufacturing, financing, renewable energy, electronics manufacturing, and education. Companies within the Hero Group include Hero MotoCorp, Hero FinCorp, Hero Future Energies, Rockman Industries, Hero Electronix, Hero Mindmine, and the BML Munjal University.

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As a Faculty/Senior Faculty in Data Science & Machine Learning at Hero Vired, you will play a pivotal role in shaping the learning experiences of our students and preparing them for successful careers in the dynamic field of data science. Leveraging your expertise and industry insights, you will engage with learners, deliver impactful online classes and workshops, and contribute to curriculum development to ensure alignment with industry trends and requirements. Your commitment to nurturing talent and driving excellence will be crucial in achieving our mission of transforming education.

Responsibilities:

· Teaching and Mentorship:



Empower students with essential skills and knowledge to excel in the data science field through effective teaching and mentorship.

· Interactive Learning: Conduct engaging online classes, workshops, and masterclasses that foster high-impact learning experiences and promote student engagement.

Program Development: Design and develop new programs aligned with industry needs and trends, tailoring content to meet the specific demands of the Indian market.

· Curriculum Enhancement: Take ownership of enhancing and updating the learning curriculum and content for existing programs to ensure continued relevance and quality.

· Cross-Functional Collaboration: Collaborate across teams to ensure the seamless execution of programs, enhance the overall learning experience, and facilitate successful career outcomes for students.

· Career Support: Work closely with the careers team to provide students with the necessary guidance and resources for achieving successful career paths.

· Sales and Marketing Support: Collaborate with the sales and marketing team to assist with webinars, training sessions, and events, contributing to the overall promotion of the programs.

· Industry Partnerships: Maintain strong connections and networks within the industry to facilitate internships, placement opportunities, and industry partnerships for students.

· Holistic Contribution: Contribute to all aspects required for the successful operation of the programs, ensuring a comprehensive and high-quality educational experience.

Skills and Experience:

· Experience: Possess a minimum of 8+ years of relevant experience in the data science and machine learning domain.

· Education:



Graduated from a Tier 1 institute; a PhD is preferable but not mandatory.

· Teaching Expertise: Demonstrated experience in full-time or part-time teaching is mandatory.

· Technical Skills: Proficiency in SQL, Python, Machine Learning, and Deep Learning, with an intermediate to advanced understanding of the following areas:

o Machine learning foundations: Linear Algebra, Calculus, basic understanding of kernel methods.

o Machine learning process: Overfitting, bias-variance tradeoff, cross-validation, regularization, subset model selection, measurement of model performance.

o Numerical Optimization: Gradient descent, common gradient descent variants (adam, rmsprop, etc.).

· Framework Proficiency: Intermediate to advanced expertise in frameworks such as PyTorch, Tensorflow, Hugging Face, Ultralytics Yolo, Sklearn, Spacy, Langchain, Flask/FastAPI.

· Programming: Intermediate to advanced expertise in Python programming, including OOPs, Generators, Decorators, debugging, linting, version control using Git, Docker containers, SQL, and DBMS.

· Cloud Technologies: Beginner expertise in cloud technologies such as Lambda functions, RDS, S3, Sagemaker, and GCP Cloud Databases.

· MLOps Frameworks: Beginner expertise in MLOps frameworks like DVC and MLFlow is desirable but not mandatory.

· Learning Methodologies: Exposure to learning methodologies like Bloom's Taxonomy is a plus.

If you are passionate about education, data science, and making a significant impact in the lives of learners, we invite you to join our team and contribute to reshaping the future of learning.

Join Hero Vired and Become a Change-Maker:

At Hero Vired, we firmly believe in the value of diversity and inclusivity. We are committed to providing a safe and welcoming setting that enables individuals from all walks of life to pursue their ambitions and achieve success. We actively encourage candidates from diverse backgrounds to apply for any open positions within our organization.

📌 Faculty/Senior Faculty - Data Science & Machine Learning (Delhi)
🏢 Hero Vired
📍 Delhi