Walk-in || Senior Data Science & AI Trainer

Mployee.me; Delhi; Vor Ort; INR 600.000 - 900.000; Vollzeit

Zusammenfassung

Techstack Academy is seeking a highly skilled Data Science & Artificial Intelligence Trainer with hands-on expertise in advanced Python, statistics, ML, DL and generative AI. You will lead project-based trainings, guide end-to-end model development, and teach real-world AI applications to students in Delhi, India.

Prior corporate training is preferred and a strong portfolio is essential. Negotiable salary based on experience.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Advanced Python

Data Science

Machine Learning

Deep Learning

Generative AI

Agentic AI

SQL & Data Eng

Cloud & Deployment

BI & Visualization

Jobbeschreibung

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: Negotiable based on expertise and experience.