Apply Now For Data Scientist Role At Cognizant in 2025

The field of Artificial Intelligence and Machine Learning (AIML) is expanding rapidly, and Cognizant is offering an exciting opportunity for data science professionals. Apply now for the Data Scientist role at Cognizant in 2025 and take a step forward in your career with a globally recognized organization. This position is based in Coimbatore and provides an excellent platform to work on cutting-edge AI/ML solutions while collaborating with industry leaders.

Why Join Cognizant as a Data Scientist?

Cognizant is a world-renowned IT services provider that continuously pushes the boundaries of digital transformation. If you have expertise in Machine Learning, Deep Learning, and AI-based solutions, this is your chance to be part of a company that values innovation and technology-driven solutions.

Job Responsibilities for AIML Data Scientist

1. Machine Learning & Deep Learning Model Development

• Apply AI/ML techniques to solve business problems effectively.
• Utilize a variety of algorithms to optimize model accuracy and business impact.
• Estimate the business impact of deployed models.

2. Collaboration with Business Teams

• Work closely with domain experts to understand business challenges.
• Utilize Deep Learning solutions to address industry-specific problems.

3. Data Preprocessing & Feature Engineering

• Handle large datasets using Python, R, SQL, and cloud-based data pipelines.
• Implement data cleansing and transformation techniques to improve model performance.

4. Building & Deploying Deep Learning Models

• Develop models using TensorFlow and PyTorch.
• Work on text, speech, image, and video data processing.
• Design NLP models for text classification, entity recognition, summarization, and semantic search.
• Develop image recognition and video analysis models using OpenCV.

5. Model Optimization & Validation

• Tune deep learning models for enhanced accuracy and performance.
• Utilize visualization tools like Power BI and Tableau to analyze model outcomes.

6. Cloud & On-Prem Deployment

• Deploy AI models as a service on cloud platforms.
• Develop CI/CD pipelines for efficient ML model deployment.

7. AI Integration & API Development

• Integrate AI/ML models with applications using REST APIs.
• Work with microservices-based architecture for seamless AI deployment.

Desired Skills & Technologies

Core Technical Skills:

• Strong expertise in Python, R, SQL
• Proficiency in TensorFlow, PyTorch, OpenCV
• Experience with NLP, image processing, video analytics
• Hands-on experience with cloud platforms (AWS, Azure, Google Cloud)
• Understanding of big data processing (Hadoop, Spark, Kafka)
• Familiarity with Git/GitHub for version control

Soft Skills Required:

• Ability to think innovatively and solve problems creatively
• Strong collaboration and communication skills
• Ability to articulate AI solutions to non-technical teams
• Passion for continuous learning and upskilling

Additional Desirable Experience

• Hands-on experience with AI/ML competitions like Kaggle
• Knowledge of Reinforcement Learning and Genetic Algorithms
• Understanding of RPA, Edge Computing, AR/VR
• Expertise in AI & Cognitive services (Azure ML, IBM Watson, AWS Sagemaker)
• Experience with automated ML platforms (DataRobot, H2O.ai, CognitiveScale)

Why Cognizant?

Cognizant is a global leader in AI and digital transformation, providing a thriving workplace for tech professionals. By joining Cognizant, you become part of a collaborative and innovative team that values diversity and inclusivity. The company fosters an environment where employees can learn, innovate, and make a real impact in AI-driven solutions.

Cognizant Offers:

• Competitive salary and benefits package
• Learning opportunities through training programs
• A dynamic work environment that encourages innovation
• A culture that promotes work-life balance

How to Apply?

Apply now for the Data Scientist role at Cognizant in 2025 by visiting the official Cognizant careers page. Don’t miss this opportunity to work with AI leaders and advance your career in data science!

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