- You are expected to contribute towards scaling machine learning workloads to handle
- Many of the optimization problems we solve fall in the intersection of Operations
- Auto-scaling of ML pipelines and test automation of critical algorithms.
- Contribute towards development of logistics planning pipeline that fuses big data,
- Development of data platform for data mining and generation of insights.
- Excellent understanding of statistical modelling, machine learning techniques and
- Designing and developing NLP applications.
- Prior experience in building geo analytical models and various clustering algorithms is
- Prior experience in applying machine learning models on large volume datasets and high
- Prior experience with data visualization tools that run on big data infrastructure.
- Experience in terms of working with cloud native AI and ML offerings would be an added advantage.
- Python, R
- Big data Spark/Hadoop
- Data storage SQL, noSQL, Graph and time series databases
- Data Visualization Tableau, PowerBI, Zeppelin and other open-source tools
- Hands on experience on Operations Research tools technologies
- Working experience on Azure/GZP/AWS
- Deep learning TensorFlow/Keras
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Design, develop, and deploy AI and machine learning solutions tailored to retail challenges such as personalized product recommendations, dynamic pricing, and demand forecasting. · Collaborate with data scientists, product managers, engineers, and retail analysts to develop AI-dr ...
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Data Scientist - Delhi, Mumbai, Kolkata - Fort Technologies
Description
Data Scientist
This position is based in Bangalore. We are looking for a professional with 1-3 years of work
experience who brings in deep expertise on data science, operations research and understands
core engineering principles to scale implementations.
Responsibilities
large volumes of data.
Research, Machine learning Deep Learning. A deeper understanding of the domain
and application of these technologies to solve business problems is essential.
operations research and machine learning.
Qualification Criteria
optimization algorithms.
essential.
velocity small datasets would be an added advantage.
Technologies
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