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Walk-in || Senior Data Science & AI Trainer

Techstack

3 - 8 years

5 - 10 Lacs

Delhi

Posted:1 week ago

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Job Description

Techstack Academy is seeking a highly skilled and industry-experienced Data Science & Artificial Intelligence Trainer with advanced technical expertise and strong practical knowledge of real-world AI applications.

Required High-Level Technical Skills:

  • Advanced Python:

    Pandas, NumPy, Scikit-learn, TensorFlow and PyTorch.
  • Data Science & Statistics:

    Probability, hypothesis testing, statistical modelling and predictive analytics.
  • Machine Learning:

    Supervised and unsupervised learning, feature engineering, model evaluation and hyperparameter tuning.
  • Deep Learning:

    Neural networks, CNNs, RNNs and Transformer architectures.
  • Generative AI & LLMs:

    OpenAI APIs, prompt engineering, RAG pipelines, embeddings and vector databases.
  • Agentic AI:

    AI agents, tool calling, workflow automation and LangChain or LangGraph.
  • SQL & Data Engineering:

    Advanced SQL, ETL pipelines and data preprocessing.
  • Cloud & Deployment:

    AWS, Azure or GCP, FastAPI, Docker, MLflow and model deployment.
  • BI & Visualization:

    Power BI, Tableau, Matplotlib and Seaborn.

Key Responsibilities:

  • Deliver advanced, project-based training.
  • Develop industry-level AI and Machine Learning projects.
  • Guide students in end-to-end model development and deployment.
  • Teach real-world Generative AI and LLM applications.
  • Prepare students for technical interviews and industry requirements.

Candidate Requirements:

  • Strong hands-on expertise in Data Science, Machine Learning, Deep Learning and Generative AI.
  • Proven portfolio of real-world projects.
  • Excellent communication and mentoring skills.
  • Prior corporate training or teaching experience preferred.

Salary:

Interested candidates can share their CV.

Skills Required

Data Science Artificial Intelligence Python Scikit-learn Statistics Hypothesis Testing Predictive Analytics Machine Learning Deep Learning Neural Networks Generative AI Automation

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