Data Scientist

Cognizant; Chennai; A distancia; INR 3.500.000 - 7.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Remote work

Descripción de la vacante

Cognizant is seeking AIML Data Science experts to apply ML/DL techniques to business problems across multiple data modalities. You will grow model accuracy, estimate business impact, and collaborate with domain teams to deploy scalable solutions in cloud or on-prem environments.

You will work on NLP, CV, and audio/video projects, build pipelines, and implement CI/CD for ML models while leveraging open source tools and cloud platforms.

Formación

• Hands-on problem solver applying ML/DL to business challenges.
• Expertise in AI/ML techniques to solve problems.
• Ability to estimate business impact of models.
• Collaborate with domain teams to understand data dictionaries.
• Pre-processing, feature engineering for model development.
• Proficiency with Python/R/SQL and cloud data pipelines.

Responsabilidades

• Design, develop and deploy DL models using TensorFlow/PyTorch.
• Work with text, speech, image, and video data.
• Develop NLP models: classification, NER, relation extraction, summarization.
• Create ML solutions for cloud or on-prem deployment.
• Build CI/CD for ML deployment and model monitoring.
• Integrate ML models via REST APIs and microservices.

Conocimientos

Machine Learning

Deep Learning

Python

R

SQL

Cloud data pipelines

NLP

TensorFlow

PyTorch

OpenCV

REST APIs

Git/GitHub

Pyspark

Hadoop

Power BI

Tableau

Herramientas

TensorFlow

PyTorch

OpenCV

Git/GitHub

Pyspark

Hadoop

Descripción del empleo

• 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

Description - External

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

• 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

4. 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
• 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