Research Teaching Associate

We are especially looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modeling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human-Computer Interaction and Information Visualization.

Applicants with a background in other quantitative areas are also encouraged to apply.

Role:- full time

Industry Type:- Educational

Functional Area:- Stimulating research & innovation with students integrating, electronics, coding, data analysis & machine learning

Employment Type:- Full Time

Responsibilities
• Identify demanding courses, plan, design and create courses
• Build the content for courses in both pdf, video format
• Build standard lab exercises for each course using proprietary algorithms
• Plan and Design hackathons, webinars
• Work with educational institutes and help in designing courses
• Delivering highly interactive lectures in both online/virtual and physical formats
• Developing innovative and quality content for lectures to help facilitate delivery of lectures
• Teaching Machine Learning models and data Analysis.
• Researching and executing futuristic projects with students
• Being able to document and publish research papers

Skills Required
• Effective communication skills with good voice base
• Proficiency with statistical concepts and mathematical models
• Proficiency with Machine Learning concepts, supervised and unsupervised algorithms
• Proficiency with Deep learning frameworks and transfer learning models
• Domain expertise and respective business use cases
• Good Scripting and programming skills in both R and Python

Minimum Qualifications
• Degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, or another related field)
• 1 year of industry or graduate research experience solving analytical problems and building models using quantitative, statistical, or machine learning approaches
• Teaching Experience with Machine Learning, Statistics, or other data analysis tools and techniques
• Teaching Experience performing data extraction, cleaning, analysis, and presentation for medium to large datasets
• Teaching Experience with at least one programming language (i.e. Python, Java, or C+)
• Teaching Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit Learn, dplyr, or ggplot2
• Teaching Experience with statistical methods such as forecasting, time series, hypothesis testing, classification, clustering, or regression analysis
• Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2
• Teaching Experience with machine learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras or Theano



ONMYOWNTECHNOLOGY
Mumbai, Maharashtra