Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

Estimate business impact due to deployment of model

Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

Design , develop & deploy Deep learning models using Tensorflow / Pytorch

Experience in using Deep learning models with text, speech, image and video data

Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

Work with application teams, in deploying models on cloud as a service or on-prem

Deployment of models in Test / Control framework for tracking





Build CI/CD pipelines for ML model deployment

Integrating AI&ML; models with other applications using REST APIs and other connector technologies

Write white papers and create demonstrable assets to summarize the AIML work and its impact.

- Sufficient expertise in machine learning, mathematical and statistical sciences
- Positive understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Ability to quantify & estimate the impact of ML models

· Desirable Experience:

- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

📌 Data Scientist (Python, ML, SQL) (Chennai)
🏢 Cognizant Technology Solutions India
📍 Chennai