Data Scientist

Cognizant

0 years

4 - 9 Lacs

chennai

Posted:1 week ago| Platform: GlassDoor logo

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Skills Required

data solver learning algorithms ai ml model estimate deployment processing engineering development python sql design tensorflow pytorch video recognition extraction summarization reasoning graphs analysis visualization analyze power service test rest technology versioning collaborative git security api microservices architecture storage cuda prototype pyspark reinforcement optimization scaling vr ethics azure aws sagemaker h2o.ai

Work Mode

On-site

Job Type

Part Time

Job Description

Title: Data Scientist

Location: Chennai

Job Description:

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
- Improve Model accuracy to deliver greater business impact
- 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 & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
- Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
- Knowledge of State of the art Deep learning algorithms
Optimize and tune Deep Learnings model for best possible accuracy
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
Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

Technology/Subject Matter Expertise:

Sufficient expertise in machine learning, mathematical and statistical sciences
Use of versioning & Collaborative tools like Git / Github
Good 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
Develop prototype level ideas into a solution that can scale to industrial grade strength
Ability to quantify & estimate the impact of ML models

Soft skills Profile:

Curiosity to think in fresh and unique ways with the intent of breaking new ground.
Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
Ability to think ahead, and anticipate the needs for solving the problem will be important
Ability to communicate key messages effectively, and articulate strong opinions in large forums

Desirable Experience:

Keen contributor to open source communities, and communities like Kaggle
Ability to process Huge amount of Data using Pyspark/Hadoop
Development & Application of Reinforcement Learning
Knowledge of Optimization/Genetic Algorithms
Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
Optimize and tune deep learning model for best possible accuracy
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

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