Cognizant is hiring for a fresher entry level Data Scientist role in India

Position:

• AIML Data Scientist

Company:

• Cognizant

Location:

• India

Job Type:

• Full-time

Job Mode:

• On-site

Job Requisition ID:

• 00062545421

Years of Experience:

• Not specified; as per JD looks like a fresher entry level role; 0-3 years
  

Company Description:

• Cognizant is a globally recognized professional services company that specializes in transforming clients' business, operational, and technological models for the digital era.

• The company adopts a unique industry-based, consultative approach that enables clients to develop, implement, and sustain innovative and efficient business solutions.

• Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and has been consistently listed among Forbes' World's Best Employers.

• Cognizant’s mission is to lead with digital solutions, fostering a work culture that is innovative, inclusive, and collaborative.

• With over 300,000 associates worldwide, Cognizant values diversity, ethical responsibility, and sustainability, ensuring its employees thrive in a dynamic and supportive environment.

• The company emphasizes continuous learning, providing opportunities for professional growth and upskilling to maintain a competitive edge in the rapidly evolving technology landscape.

Profile Overview:

• The AIML Data Scientist role involves solving complex business problems using AI and machine learning techniques.

• The candidate is expected to have strong analytical skills, a deep understanding of data science, and expertise in deep learning algorithms.

• The role demands proficiency in data preprocessing, model development, and deployment on cloud platforms.

• The ideal candidate will work closely with business stakeholders to comprehend challenges, identify suitable AI-driven solutions, and implement models that enhance decision-making processes.

• Strong knowledge of AI/ML frameworks, such as TensorFlow and PyTorch, is crucial for designing and optimizing models.

• The role also involves collaborating with cross-functional teams to integrate AI solutions with existing applications via REST APIs and other modern technologies.

• The position requires keeping up to date with the latest advancements in AI/ML and continuously refining model performance through optimization techniques.

• Strong communication skills are essential to articulate technical concepts to both technical and non-technical stakeholders.

Qualifications:

• Hands-on experience in implementing AI and ML algorithms to solve real-world business problems.

• Proficiency in Python, R, and SQL for data processing and model development.

• Expertise in deep learning frameworks like TensorFlow and PyTorch.

• Ability to work with unstructured data, including text, speech, image, and video, to develop AI-driven solutions.

• Experience in designing NLP models for tasks such as text classification, entity recognition, text summarization, and topic modeling using tools like SpaCy.

• Proficiency in building image recognition and video analysis models with OpenCV and other open-source tools.

• Familiarity with optimization techniques to improve deep learning model accuracy and performance.

• Strong skills in data visualization using tools like Power BI and Tableau for model validation and analysis.

• Knowledge of cloud-based AI/ML deployment using platforms like AWS, Azure ML, IBM Watson, and Google Cloud.

• Experience with CI/CD pipelines for deploying machine learning models in production.

• Understanding of API development and integration for seamless communication between AI models and other applications.

• Experience in collaborative development using Git/GitHub and version control tools.

• Strong problem-solving skills, creativity, and a consultative approach to AI implementation.

• Awareness of digital ethics, data security, and privacy concerns related to AI solutions.

Additional Info:

• The role requires constant upskilling to stay ahead in the field of AI and ML.

• Candidates with experience contributing to open-source AI/ML projects and Kaggle competitions will be preferred.

• Exposure to handling large datasets using big data tools like PySpark and Hadoop is a plus.

• Familiarity with reinforcement learning and genetic algorithms will be advantageous.

• Experience in deploying AI models at scale and optimizing their performance in real-world scenarios.

• Understanding of cutting-edge technologies such as stream data processing, RPA, edge computing, AR/VR, and their applications in AI.

• Strong communication skills to effectively convey AI-driven insights to business stakeholders.

• The position is ideal for individuals who thrive in an innovative and collaborative work environment.

• Cognizant’s work culture promotes teamwork, inclusivity, and continuous professional development, offering an excellent platform for career growth.

Cognizant's Commitment to Diversity and Inclusion:

• Cognizant is an equal opportunity employer that values diversity and inclusion.

• The company embraces individuals from all backgrounds, ensuring a work culture that champions equity and inclusion.

• Applications are considered without regard to race, color, sex, religion, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, or any other protected characteristics.

• Cognizant fosters a workplace where every employee feels heard, valued, and empowered to contribute to the company’s mission and vision.

Disclaimer:

• Compensation details provided are accurate as of the date of this posting.

• Cognizant reserves the right to modify job-related information, including job descriptions and salary structures, in accordance with applicable laws and company policies.

• Applicants may be required to attend interviews in person or via video conferencing.

• Candidates may also need to present a valid government-issued ID during the hiring process.

Please click here to apply.

✖

Before you go further ...

or

Direct apply link!