AIML Data Scientist

Role Deep Learning Engineer & Data Scientist

Location Kolkata

Job Description

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

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

b. Improve Model accuracy to deliver greater business impact

c. Estimate business impact due to deployment of model

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

3. 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

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

a. 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

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

c. Knowledge of State of the art Deep learning algorithms

6. Optimize and tune Deep Learnings model for best possible accuracy

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

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

a. Deployment of models in Test / Control framework for tracking

b. Build CI/CD pipelines for ML model deployment

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

10. 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

The Cognizant community
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 350, 000 associates around the world.
• We don t just dream of a better way - we make it happen.
• We take care of our people, clients, company, communities and climate by doing what s right.
• We foster an innovative environment where you can build the career path that s right for you.

About us
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U. S. , Cognizant (a member of the NASDAQ-100 and one of Forbes World s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www. cognizant. com

Our commitment to diversity and inclusion

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