5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Part Time

Job Description

About Us

AI & Data Science Training Academy

passionate Data Science Trainers


What You Will Teach (Modules & Tools)

complete Data Science curriculum


Programming & Foundations

  • Core + Advanced Python
  • Git/GitHub, Jupyter, VS Code
  • Pandas, NumPy, SciPy


Databases & Data Engineering

  • SQL (PostgreSQL/MySQL/SQL Server)
  • ETL / ELT concepts
  • Azure Data Factory, Apache Airflow
  • PySpark / Spark


Mathematics & Statistics

  • Probability, Statistics, Hypothesis Testing
  • Regression, Correlation, Feature Selection


Machine Learning

  • scikit-learn (Regression, Classification, Clustering, Anomaly Detection)
  • XGBoost, LightGBM, CatBoost
  • Feature Engineering, Model Evaluation, Cross-validation


Deep Learning & AI

  • PyTorch and/or TensorFlow + Keras
  • CNNs, RNNs, LSTMs, Transformers
  • Time Series Forecasting (ARIMA, Prophet, DeepAR)
  • Computer Vision (OpenCV, YOLOv5/v8, Image Augmentation)
  • NLP (SpaCy, NLTK, Hugging Face Transformers, BERT/LLM fine-tuning)


MLOps & Cloud

  • Docker, Kubernetes
  • MLflow / Weights & Biases (W&B)
  • AWS (SageMaker, EC2, S3), Azure ML, GCP (Vertex AI)
  • CI/CD pipelines for ML (GitHub Actions, GitLab CI)


Visualization & BI Tools

  • Tableau, Power BI
  • Streamlit, Dash
  • Matplotlib, Seaborn, Plotly


Bonus Skills (Good to Have)

  • Generative AI (RAG, LLM fine-tuning, LangChain basics)
  • Optimization libraries (Gurobi, OR-Tools, Pyomo)
  • Robotics/Edge AI basics (Jetson, Raspberry Pi, TensorRT)


Job Responsibilities:
  • Deliver engaging

    live online training sessions

    (1–2 hrs/day, ~190 days per program).
  • Explain

    complex concepts in simple terms

    to beginners & intermediate students.
  • Guide students on

    hands-on projects, assignments, and case studies

    .
  • Mentor students during their

    3-month capstone internship projects

    .
  • Support with

    placement readiness

    – mock interviews, coding test prep, and doubt clearing.
  • Provide

    feedback on student progress

    and ensure high-quality learning outcomes.
Compensation & Growth
  • Starting pay:

    ₹550–₹750 per hour

    (depending on experience).
  • Performance-based increments:

    Salary grows with student placement percentage & feedback ratings.

  • Extra earning opportunities through additional modules, workshops, and placements support.

Who Can ApplyMust-Have Requirements
  • 2–5 years of proven professional experience

    in Data Science / AI / Machine Learning.
  • Hands-on experience in delivering

    real-time projects

    (end-to-end: data collection, model building, deployment, and reporting).
  • Strong knowledge of

    Python, SQL, ML algorithms, and at least one DL framework (PyTorch/TensorFlow)

    .
  • Experience working with

    industry datasets

    (finance, healthcare, retail, manufacturing, or similar).
  • Ability to teach and guide students on

    live projects and internships

    .


Preferred (Good to Have for Advanced Program)
  • Experience with

    cloud platforms (AWS, Azure, GCP)

    and MLOps tools.
  • Exposure to

    Generative AI / LLMs / Transformers

    .
  • Prior

    training/mentoring experience

    in Data Science or related fields.
  • Excellent communication skills and the ability to

    simplify complex concepts

    for beginners.

  • 🌟 Why Join Us?
    • Earn

      decent hourly pay with growth potential

      (earn more as batches & placements grow).
    • Work

      flexibly

      – remote/part-time opportunities.
    • Chance to

      mentor beginners and freshers

      and make real impact in their careers.
    • Be part of a

      growing academy with 100% placement support for students

      .


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