- Apply machine learning techniques to deliver actionable insights from large- scale, multi-structured datasets.
- Work unsupervised with internal and external teams to respond to business requirements.
- End-to-end responsibility for model development, including data exploration, training data, feature extraction and model development, validation and scoring.
- Convincingly communicate with our stakeholders at all levels, including pairing with other Data Scientists.
Desired Skills & Abilities :
- Strong background in at least one specific machine learning area.
- Excellent skills in at least one procedural language (for instance, but not limited to Python, R or similar).
- Comfortable with command-line tools.
- Experience working on cloud based environments such as Azure is a strong plus
- Real-life experience with the tools of the Spark ecosystem are a plus.
- Experience with large-scale model deployment is a plus.
- Deep learning experience using one of the popular frameworks is a plus.
- Strong programming skills with at least one scripting language (e.g. R, Python). Conversant with advanced deep learning techniques
- Dense neural networks as well as neural networks design and implementation through tools like tensorflow, keras, pytorch, deepai or equivalent.
- Should have at-least 1 end-to-end ML project experience. Starting from organizing and munging data, prototyping algorithms in scripting languages to deploying a solution in a stable platform
- Database management systems and experience with handling data using SQL and ETL tools.
- Exposure to massive data storage architectures - Map-Reduce/ Columnar Databases/ NoSQL/ RDD-Spark
- Exposure to design of experiments
If interested, you may contact me on :
Shruti Gupta
Ph: 8184824688
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