Data Scientist

Cognizant; Tambaram; On-site; INR 1,500,000 - 4,500,000; Full time

Job summary

Cognizant Technology Solutions Corporation is seeking an AIML Data Scientist with 6–15 years of experience for Pan India opportunities. The role requires hands-on ML/DL expertise, NLP and CV capabilities, and experience deploying models on cloud or on-premise.

You will work with cross-functional teams to translate business problems into scalable AI solutions. You will preprocess data, engineer features, validate models, and quantify business impact.

Qualifications

• Hands-on ML/DL development to solve business challenges.
• Apply diverse AI/ML techniques to fit problem context.
• Improve model accuracy and quantify business impact.

Responsibilities

• Understand business context with domain teams and data dictionaries.
• Pre-process data, feature engineering and model development.
• Design, develop and deploy DL models using TensorFlow or PyTorch.
• Develop NLP models for text tasks and CV models for image/video.

Skills

Problem solving

Consultative approach

Model evaluation

Data understanding

Tools

Python

R

SQL

Cloud data pipelines

Job description

Role : AIML Data Science

Location: Pan India

Experience: 6 to 15 Years

Notice Period: Immediate to 90 days

Mode of Interview: In Person

Job Description

1. 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

Softskills 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

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