Be a hands-on problem solver with a consultative approach, applying Machine Learning & Deep Learning algorithms to solve business challenges.

Company: Cognizant

Role: AIML Data Scientist

Location: Gurgaon, Haryana, India (Hybrid, Full-time)

Experience:

3 to 12 years

Role Focus: • Apply Machine Learning & Deep Learning algorithms to solve business challenges • Improve Model accuracy to deliver greater business impact • Estimate business impact due to deployment of model • Work with domain/customer teams to understand business context and apply relevant Deep Learning solutions • Design, develop & deploy Deep learning models • Optimize and tune Deep Learning models for best possible accuracy • Deploy models on cloud as a service or on-prem • Build CI/CD pipelines for ML model deployment

Additional responsibilities:

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

Nice to have:

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
Understanding of stream data processing, RPA, edge computing, AR/VR etc
Appreciation of digital ethics, data privacy
Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud
Experience in platforms like Data robot, Cognitive scale, H2O.AI etc

More skills:

Cloud data pipelines, Power BI, Tableau, Git, Github, REST APIs

Other:

Sufficient expertise in machine learning, mathematical and statistical sciences
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
Ability to quantify & estimate the impact of ML models
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

AIML Data Scientist

Skills Required

Description

Experience:

Additional responsibilities:

Nice to have:

More skills:

Other:

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