Cognizant is hiring a Data Scientist to solve complex business challenges through a hands-on, consultative application of Machine Learning and Deep Learning. In this role, you will work directly with domain and customer teams to understand business context and data, designing and deploying impactful AI solutions.
What You'll Do
- Be a hands-on problem solver, applying Machine Learning and Deep Learning algorithms to address business needs.
- Collaborate with domain and customer teams to grasp business context, data dictionaries, and implement relevant Deep Learning solutions.
- Use tools and scripts for data pre-processing and feature engineering with Python/R/SQL/Cloud data pipelines.
- Design, develop, and deploy Deep Learning models using Tensorflow/Pytorch.
- Design and develop NLP models for tasks like Text Classification, Entity Recognition, Relationship Extraction, Summarization, Topic Modeling, and Semantic Search.
- Design and develop Image recognition and video analysis models using Deep Learning and open-source tools like OpenCV.
- Optimize and tune Deep Learning models for the best possible accuracy.
- Use visualization tools like Power BI/Tableau to explore outcomes and validate models.
- Work with application teams to deploy models on cloud or on-prem, including building CI/CD pipelines for ML deployment.
- Integrate AI/ML models with other applications using REST APIs.
- Constantly upskill, stay updated with latest techniques, write white papers, and create demonstrable assets.
What We're Looking For
- 5+ to 13 years of relevant experience.
- Sufficient expertise in machine learning, mathematical, and statistical sciences.
- Proficiency with versioning and collaborative tools like Git/Github.
- A good understanding of the AI solutions landscape: cloud, GPU compute, data security, API gateways, microservices architecture, big data processing, and CUDA Programming.
- Ability to develop prototype ideas into industrial-grade, scalable solutions.
- Ability to quantify and estimate the impact of ML models.
- Curiosity to think in fresh ways with intent to break new ground.
- Ability to share, explain, and advocate for ideas and opinions effectively.
- Ability to think ahead and anticipate needs for problem-solving.
- Strong communication skills to articulate key messages and opinions in large forums.
Nice to Have
- Keen contributor to open source communities or platforms like Kaggle.
- Ability to process huge amounts of data using Pyspark/Hadoop.
- Development and application of Reinforcement Learning.
- Knowledge of Optimization or Genetic Algorithms.
- Experience operationalizing and scaling Deep Learning models in real customer scenarios.
- Understanding of stream data processing, RPA, edge computing, or AR/VR.
- Appreciation of digital ethics and data privacy.
- Experience with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, or Google Cloud.
- Experience with platforms like Data robot, Cognitive scale, or H2O.AI.
Technical Stack
- Languages & Pipelines: Python, R, SQL, Cloud data pipelines
- ML/DL Frameworks: Tensorflow, Pytorch, Spacy, OpenCV
- Visualization: Power BI, Tableau
- Tools & Integration: Git, Github, REST APIs, Pyspark, Hadoop
Work Mode
This role is onsite in Pune.
Cognizant is an equal opportunity employer.
