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

Position:

• Role: Deep Learning Engineer & Data Scientist

Company:

• Name: Cognizant

Location:

• Base: Kolkata, India

Job Type:

• Type: Full-time

Job Mode:

• Mode: Hybrid

Job Requisition ID:

• ID: 00060472682

Years of Experience:

• Experience: 0-3 years
  

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Company Description:

• Cognizant is a globally renowned professional services company specializing in transforming clients’ business, operational, and technology models to adapt to the digital era.
• With a consultative, industry-specific approach, the company helps organizations envision, design, and implement efficient and innovative solutions.
• Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and has consistently been recognized by Forbes as one of the World’s Best Employers in 2024.
• Cognizant fosters an inclusive and diverse workplace where everyone can thrive and contribute meaningfully to their roles.
• As a global community of over 300,000 associates, Cognizant emphasizes innovation and collaboration to build career paths aligned with individual goals.
• The company is dedicated to ethical practices, environmental sustainability, and making a positive societal impact.

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Profile Overview:

• The Deep Learning Engineer & Data Scientist role involves designing and deploying machine learning (ML) and deep learning (DL) models to address complex business challenges.
• Responsibilities include leveraging AI/ML techniques to enhance model accuracy, delivering impactful business outcomes, and estimating deployment impact.
• Collaborating with cross-functional teams, the role requires interpreting business contexts and applying relevant DL solutions tailored to challenges.
• Tasks range from pre-processing data and feature engineering to developing models with Python, R, SQL, and cloud-based pipelines.
• Experience in handling text, speech, image, and video data using state-of-the-art DL algorithms is crucial.
• Proficiency in tools such as TensorFlow, PyTorch, OpenCV, Power BI, and Tableau for visualization and model validation is a must.
• Deployment expertise, including integrating ML models with APIs and building CI/CD pipelines, is required.
• The role demands continuous learning, keeping pace with the latest AI/ML advancements, and contributing to the broader AI community through white papers and demonstrable assets.

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Qualifications:

Technical Skills:

• Hands-on experience with ML and DL algorithms to solve business problems.
• Proficiency in Python, R, SQL, and cloud data pipelines.
• Expertise in NLP tools (e.g., SpaCy, TensorFlow, PyTorch) for tasks like text classification, entity recognition, summarization, and semantic search.
• Capability to develop image recognition and video analysis models using OpenCV and other DL techniques.
• Familiarity with state-of-the-art DL models and optimization strategies.
• Knowledge of GPU-based computing, cloud-based AI solutions, data security, and API gateways.
• Version control expertise with tools like Git/GitHub.

Soft Skills:

• Strong analytical mindset with a curiosity to explore innovative approaches to problem-solving.
• Excellent communication skills to articulate ideas effectively in diverse forums.
• Ability to collaborate with cross-functional teams, explain technical concepts, and drive consensus.
• Proactive thinking to anticipate potential challenges and offer forward-looking solutions.

Preferred Experience:

• Contributions to open-source communities and participation in platforms like Kaggle.
• Experience with platforms such as Azure ML, IBM Watson, AWS SageMaker, and Google Cloud.
• Hands-on expertise with tools like DataRobot, H2O.ai, and CognitiveScale.
• Practical knowledge of reinforcement learning, genetic algorithms, and optimization techniques.
• Experience operationalizing DL models at scale and understanding nuances of deployment in real-world scenarios.
• Familiarity with edge computing, RPA, AR/VR, and stream data processing.

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Additional Info:

Work Environment and Culture:

• Cognizant emphasizes fostering an inclusive, collaborative, and energetic work environment.
• The company is committed to nurturing talent, enabling employees to pursue their career aspirations in a supportive setting.

Diversity and Inclusion:

• Cognizant is an equal opportunity employer, promoting equity and celebrating diversity.
• The company values employees from all backgrounds, ensuring a welcoming space for everyone.

Technology Landscape:

• Cognizant offers exposure to cutting-edge technologies and platforms, empowering employees to stay ahead in their careers.
• The company supports upskilling initiatives to align with the latest advancements in AI and ML.

Global Presence:

• Cognizant’s worldwide community of professionals ensures a robust support network for employees and opportunities for cross-regional collaboration.

Disclaimer:

• Compensation details and other terms are subject to change, adhering to applicable legal standards.
• Applicants may undergo in-person or virtual interviews, with identity verification required during the process.

Please click here to apply.

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