Your role
- Understand client business requirement and provide suitable approach to solve the business problem in different domains.
- Develop strategies to solve problems in logical yet creative ways
- Helping & Managing teams of data scientist and produce project deliverables
- Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods.
- Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques.
- Help enhance data collection procedures to include information that is relevant for building analytical systems
- Doing ad-hoc analysis and presenting results in a clear manner.
- Follow and help improve with ‘Analytics-Delivery’ procedures using detailed documentations.
- Create custom reports and presentations accompanied by strong data visualization and storytelling
- Present analytical conclusions to senior officials in a company and other stakeholders
Your Profile
- Education: Engineering graduates (B.E/ B.Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications).
- Minimum 4 years relevant experience
- Experience in data management and visualization task
- Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc.
- Excellent understanding / hand-on experience in NLP and computer vision.
- Good understanding / hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc.).
- Knowledge/ Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc.
- Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc
- Knowledge/ hand-on experience on deployment of model in production & deployment.
- Hands on experience in GenAI.