Python Data Science & Al Trainer

About the job

Mizan Institute of Technology (MiT) invites an experienced and passionate Python, Data Science, and AI Trainer to join our team as a full-time hybrid member. This role focuses on delivering comprehensive Python programming, AI, and Data Science training from beginner to advanced levels, empowering students with practical skills and industry-relevant expertise.

Major Responsibilities and Roles:

Python Programming Trainer:

• Deliver engaging, hands-on Python programming training sessions covering fundamentals to advanced concepts, including OOP, data structures, algorithms, and best practices
• Teach Python frameworks and libraries, including Django, Flask, FastAPI, and automation tools
• Develop and update course materials, coding exercises, projects, and assessments aligned with industry standards
• Guide students in building practical Python applications, scripts, and automation projects.Data Science & AI Trainer
• Instruct a comprehensive Data Science &AI curriculum covering data analysis, visualization, statistical analysis, machine learning, NLP, CV, GenAI, and deep learning

Teach essential data science libraries and frameworks:

• NumPy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, TensorFlow, PyTorch, and Keras
• Cover the complete data science pipeline: data collection, cleaning, exploration, feature engineering, model building, evaluation, and deployment. Provide hands-on training in SQL, database management, and big data tools (Apache Spark, Hadoop basics)
• Teach machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures (CNNs, RNNs, Transformers)
• Guide students through real-world data science projects and Kaggle-style competitions
• Provide expert mentoring in portfolio development, helping students create industry-ready data science projects.

Skills and Qualifications Needed:

Technical Skills:

• Expert-level proficiency in Python programming (beginner to advanced).

Deep understanding of Python frameworks:

• Django, Flask, FastAPI, and web scraping tools (BeautifulSoup, Scrapy)

Strong expertise in data science libraries:

• NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Scipy.
• Extensive knowledge of machine learning frameworks:
• Scikit-learn, XGBoost, LightGBM.

Proficiency in deep learning frameworks:

• TensorFlow, Keras, and PyTorch
• Solid understanding of statistics, probability, linear algebra, and calculus for data science.
• Experience with SQL, database management (PostgreSQL, MySQL), and NoSQL databases (MongoDB).
• Knowledge of big data tools (Spark, Hadoop) and cloud platforms (AWS, Google Cloud, Azure).
• Familiarity with MLOps, model deployment, and production pipelines.

Soft Skills:

• Excellent communication, presentation, and teaching abilities with the capacity to simplify complex concepts
• Strong analytical and problem-solving mindset.Preferred

Qualifications:

• Master's degree or Ph.D. in AI, Computer Science, Data Science, Software Engineering, or related field.
• Industry certifications (Google Data Analytics, AWS Machine Learning, TensorFlow Developer) are a plus.
• Proven track record in teaching, training, or corporate coaching in Python and Data Science.
• Distinct portfolio showcasing data science projects, Kaggle contributions, or research publications.
• Experience with AI technologies, including generative AI and large language models (LLMs).
• Active participation in data science communities, hackathons, or open-source contributions.

Practical Experience:

• Minimum 3-5 years of solid hands-on experience in Python programming and Data Science.
• Proven track record of completed data science projects spanning various domains (finance, healthcare, e-commerce, etc.)
• Experience with real-world datasets and end-to-end project implementation.

Skills Required:

• Computer / Software / It / Data