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Machine Learning Engineer
Viser Solutions
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Develop, design and build models using Machine Learning and Deep learning
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Running machine learning tests and experiments.
- Use predictive modeling to increase and optimize customer experiences, revenue generation etc.
- You are expected to pick up the necessary skills and contribute towards a successful product execution.
- Minimum 3+ Experience in machine learning techniques for addressing various problems (e.g. transaction categorization, revenue forecasting, image classification, text extraction, anomaly detection etc.)
- Experience with machine learning algorithms (e.g. k-nearest neighbours, random forests, ensemble methods, deep neural networks, SVM, etc.) and when it is appropriate to use each technique.
- Building machine learning models and systems, interpreting their output and communicating the results
- Proven strong problem-solving skills with an emphasis on analytical/machine learning product development.
- Experience in Python and Data science libraries like Keras, Tensor Flow, Pytorch, Scikit Learn. Numpy, Pandas
- Experience in Visualization libraries using Python (Matplotlib, Seaborn, bokeh, etc.), JavaScript (d3) or PowerBI
- Experience in Data Storage Processing technologies, including SQL, NoSQL, Hadoop, Postgres, Spark
- Experience in NLP
- Strong focus on fast and incremental value delivery
- Ability to work alone and have an ownership mentality
- We are polyglots, so a willingness to learn new technologies is a must.
- NLP with text-based extraction techniques
- Data warehousing
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Saturday
No travel
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