Associate Faculty - Data Science (Delhi)

Associate Faculty - Data Science (Delhi)

24 Oct
|
Hero Vired
|
Delhi

24 Oct

Hero Vired

Delhi

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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The key responsibilities will be:

1. Conducting live sessions for learners from varied academic backgrounds
2. Preparing live lecture content, handouts and graded assessments
3. Grading assessments and providing feedback to learners
4. Doing career related interventions in terms of webinars, career prep sessions etc

Skills and experience:

Key skills needed to succeed in this role include:





- Prior teaching experience on topics related to SQL, Python, Machine Learning and Deep Learning.
- Intermediate to advanced expertise in the following subject areas:

- Machine learning foundations: Linear Algebra, Calculus, basic understanding of kernel methods
- Machine learning process: Overfitting, bias variance tradeoff, cross validation, regularization, subset model selection, measurement of model performance
- Numerical Optimization: Gradient descent, common gradient descent variants (adam, rmsprop etc).

- Intermediate to advanced expertise in the following frameworks:

1. PyTorch, Tensorflow
2. Hugging Face
3. Ultralytics Yolo
4. Sklearn
5. Spacy
6. Langchain
7. Flask/FastAPI

- Intermediate to advanced expertise in python programming. Comfort with following skills needed:

1. OOPs, Generators, Decorators
2. Debugging, linting
3. Version control using git, docker containers.
4. SQL and DBMS

- Beginner expertise in the following cloud technologies:

1. Lambda functions, RDS, S3
2. Sagemaker
3. GCP Cloud Databases

- Beginner expertise in the following mlops frameworks desirable but not mandatory:

1. DVC
2. MLFlow
3. Exposure to learning methodologies: such as bloom’s taxonomy, good to have.

Note: At Hero Vired, we firmly believe in the value of diversity and inclusivity. As an employer, we are committed to providing a safe and welcoming workplace 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.

📌 Associate Faculty - Data Science (Delhi)
🏢 Hero Vired
📍 Delhi

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