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
- You are expected to contribute towards scaling machine learning workloads to handle
large volumes of data.
- Many of the optimization problems we solve fall in the intersection of Operations
Research, Machine learning Deep Learning. A deeper understanding of the domain
and application of these technologies to solve business problems is essential.
- Auto-scaling of ML pipelines and test automation of critical algorithms.
- Contribute towards development of logistics planning pipeline that fuses big data,
operations research and machine learning.
- Development of data platform for data mining and generation of insights.
Qualification Criteria
- Excellent understanding of statistical modelling, machine learning techniques and
optimization algorithms.
- Designing and developing NLP applications.
- Prior experience in building geo analytical models and various clustering algorithms is
essential.
- Prior experience in applying machine learning models on large volume datasets and high
velocity small datasets would be an added advantage.
- 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 addedadvantage.
Technologies
- 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
