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



Position:

  • AIML Data Scientist

Company:

  • Cognizant

Location:

  • Indore

Job type:

  • Full-time

Job mode:

  • Hybrid

Job requisition id:

  • 00062679901

Years of experience:

  • Not explicitly mentioned; looks like a fresher entry level job as per the JD


Company Description

  • Cognizant is a prominent global leader in IT services and consulting, known for empowering enterprises with digital capabilities to boost their competitiveness.

  • With over 300,000 employees globally, the company fosters a vibrant, inclusive, and collaborative work culture that emphasizes innovation and excellence.

  • Its core philosophy revolves around a people-centric approach, where both employees and clients are supported and encouraged to grow and succeed.

  • Cognizant stands as a digital transformation expert, seamlessly integrating technology, operations, and strategic solutions to cater to business challenges in a wide array of industries.

  • Headquartered in the United States, the company’s global reach and technical expertise help clients reimagine and build future-ready enterprises.

  • It has been recognized on numerous global platforms, including Forbes World’s Best Employers list for 2024.

  • Cognizant not only promotes business agility but also invests in corporate social responsibility initiatives, aiming to positively impact communities, climate, and corporate governance.

  • Diversity, equity, and inclusion are pillars of its work environment, encouraging everyone to thrive, regardless of background.

  • By continuously exploring advancements in AI, ML, and digital strategy, Cognizant positions itself as a reliable partner in the journey of digital evolution.


Profile Overview

  • This position calls for a data scientist proficient in Artificial Intelligence and Machine Learning (AI/ML), tasked with designing, developing, and deploying deep learning solutions to solve business challenges.

  • The ideal candidate will have a hands-on approach to problem-solving and exhibit a consultative mindset to apply advanced AI techniques efficiently.

  • The role requires blending technical modeling with practical business insight to estimate and deliver measurable business value through model deployment.

  • Candidates should be able to apply a variety of machine learning and deep learning algorithms, optimizing them for maximum performance and accuracy.

  • The professional must collaborate closely with domain and customer-facing teams to understand business needs, interpret data dictionaries, and recommend tailored AI-driven solutions.

  • Familiarity with modern data engineering and data preprocessing practices is essential for building robust models.

  • The role involves actively engaging in feature engineering, model training, and evaluation, particularly using Python, R, SQL, and cloud-based data pipelines.

  • Emphasis will be placed on model interpretability, visualization, and validation using business intelligence tools.

  • Experience in deploying scalable AI models using cloud or hybrid infrastructures and integrating them with business applications will be a core part of the responsibilities.

  • The position also demands proactive learning and contribution to internal knowledge-sharing, such as whitepapers, demos, and model showcases.


Qualifications

  • Must possess hands-on expertise in AI/ML with the capability to design and refine algorithms tailored for specific business problems.

  • Should be adept in model development, especially involving deep learning frameworks like TensorFlow and PyTorch.

  • Strong programming knowledge in Python, R, and SQL is essential, along with proficiency in handling data pipelines and pre-processing techniques.

  • Proven experience with NLP applications such as text classification, named entity recognition, relationship extraction, summarization, semantic search, and reasoning using tools like Spacy and other open-source libraries.

  • Must understand computer vision applications and be capable of developing models for image and video data using OpenCV and similar tools.

  • Should be comfortable working with unstructured data formats such as speech, image, text, and video.

  • Deep knowledge of advanced AI/ML algorithms and the ability to choose the best-suited methods for each unique use case is crucial.

  • Familiarity with visualization tools like Power BI and Tableau to evaluate, validate, and communicate results is necessary.

  • Cloud deployment expertise is important, with hands-on knowledge of building CI/CD pipelines and deploying models in test/control frameworks.

  • Should have experience integrating models into real-world applications through REST APIs and similar interfaces.

  • Experience with platforms like Azure ML, IBM Watson, AWS Sagemaker, and Google Cloud is advantageous.

  • Additional skills in Pyspark, Hadoop, reinforcement learning, and optimization algorithms will be valuable.


Additional Info

  • Candidates should have a deep understanding of machine learning theory, statistical analysis, and mathematical foundations relevant to AI modeling.

  • Expected to continuously update skills and stay abreast with advancements in the AI/ML domain through self-learning, community participation, and active experimentation.

  • Prior contributions to open-source projects or participation in competitive platforms like Kaggle will be considered a strong asset.

  • Working knowledge of GPU-based computing, microservices architecture, and modern data processing tools is highly desirable.

  • Appreciation for data security, digital ethics, privacy regulations, and responsible AI practices is a must-have in today’s AI landscape.

  • Experience in building scalable and production-ready AI solutions is preferred, especially for enterprise-level implementation.

  • Understanding of modern computing paradigms such as edge computing, stream data processing, RPA (Robotic Process Automation), and AR/VR will add further value.

  • Familiarity with version control systems and collaborative development platforms like Git and GitHub is important for teamwork and reproducibility.

  • Demonstrated ability to articulate ideas and model outcomes clearly to stakeholders across technical and non-technical teams.

  • Ability to estimate the tangible business impact of deployed AI solutions and track performance using appropriate frameworks.

  • Cognizant encourages a growth-oriented mindset and values those who contribute to knowledge repositories, whitepapers, and innovative solution assets.

  • The role may occasionally involve presenting your work or outcomes in large forums, requiring excellent communication and presentation skills.

  • Candidates should exhibit curiosity, a forward-thinking attitude, and a readiness to collaborate beyond their core technical responsibilities.


Please click here to apply.


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