Hands-on experience and strong programming skills in Python and SQL. Must have practical exposure to scientific software development packages like numpy, scipy, pytorch, pandas, scikit-learn or seaborn.
Designing, developing, and researching Machine Learning systems, models, and schemes.
Strong understanding and hands-on work experience on Time series, Forecasting, NLP, Computer Vision, and Deep Learning.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes covering all components with E2E technical architecture.
Right behavior and attitude towards work.
Strong interpersonal skills and ability to understand the big picture and deliver results in a partnering and collaborative style.
Passion to understand and analyze business problems consequently trying to address them by leveraging data characterized by high-volume, high dimensionality from multiple sources.
about you
Knowledge on building machine learning models viz classification, clustering, time-series analysis, or recommender systems. Must have implemented ML algorithms such as KNN, Logistic Regression, Naive Bayes, Random Forest, Decision Tree, Dimensionality Reduction (PCA, TSNE) etc.
Must be expert in Numpy, Pandas, Matplotlib, Seaborn, Dimensionality Reduction (PCA) with ability to build and deploy Machine learning models using modern AI techniques.
Must be well versed with Matrices, Probablity, Statistics and Linear Algrebra
\xc2\xbfStrong problem solving and analytical skills.
Effective presentation skills and ability to communicate analysis of complex models in a clear and precise manner.
Excellent time management and organizational abilities.
additional informationBachelors Degree (B.E. or B.Tech or M.Tech.) or equivalent in the Computer Science, Computer Engineering or Information Technology disciplines with strong fundamentals in software engineeringcontractRegular