📋 Job Details at a Glance 📍 Location India 🏢 Company Cognizant 👥 Experience Fresher 🎓 Qualification Bachelor's Degree 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹4–7 LPA* 🏢 Industry Technology 🛠 Key Skills Machine Learning Basics Data Handling Python Scripting Data Preparation Cognitive Solutions & Machine Learning at Cognizant — Full Details & How to Apply Cognizant is seeking freshers for the Cognitive Solutions & Machine Learning role in India , offering a competitive salary of ₹4–7 LPA* . This hybrid position is ideal for graduates looking to kickstart their careers in technology. The demand for machine learning skills is surging, with companies increasingly relying on AI-driven solutions to enhance their services. This specific role at Cognizant is pivotal as it directly contributes to the development of AI/ML models that improve decision-making processes for clients across various industries, making it a vital part of the technology landscape. Founded in 1994 , Cognizant employs over 300,000 professionals globally and is recognized for its innovative technology solutions. The company’s commitment to fostering a culture of innovation and collaboration makes it an attractive employer for those entering the field of Cognitive Solutions & Machine Learning jobs. Freshers with a Bachelor's Degree in relevant fields are encouraged to apply, especially those from the 2024, 2025, 2026 batches. This role is designed for individuals with fresher experience , providing a solid foundation for a career in AI and machine learning, along with a competitive salary of ₹4–7 LPA* . In this role, you will gain hands-on experience with essential skills such as Machine Learning Basics , Data Handling , Python , Scripting , and Data Preparation . These competencies will not only enhance your technical expertise but also open doors to rapid career advancement in the technology sector. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Cognitive Solutions & Machine Learning role at Cognizant is to enhance machine learning workflows through effective data preparation and collaboration with cross-functional teams. Prepare and clean datasets using Python to ensure high-quality inputs for machine learning workflows. Test AI/ML processes and validate outputs using statistical methods to ensure model accuracy and reliability. Collaborate with data engineering and analytics teams to streamline data workflows, enhancing overall efficiency. Document results and support model development, contributing to knowledge sharing within the team. Take initiative in identifying data quality issues and propose solutions to enhance model performance. Communicate findings effectively to stakeholders through reports and presentations, ensuring clarity and understanding. Assist in troubleshooting model outputs and provide support during client interactions, fostering strong relationships. This role empowers individuals to take ownership of their contributions, directly impacting the success of machine learning initiatives at Cognizant . Required Skills & Technical Competencies The skill profile for this role emphasizes a strong foundation in machine learning and data handling, essential for effective model development and testing. Technical Skills Machine Learning Basics — entry — foundational knowledge is crucial for understanding model development and application. Data Handling — entry — practical skills in managing and manipulating datasets are essential for this role. Python — entry — daily tasks will involve scripting in Python for data preparation and model testing. Scripting — entry — familiarity with scripting languages enhances automation and efficiency in workflows. Communication — entry — strong communication skills are necessary for documenting processes and collaborating with teams. Good to Have (Bonus Skills) Knowledge of SQL — enhances data retrieval capabilities for analysis. Familiarity with cloud platforms — opens up opportunities for working on scalable ML solutions. Experience with version control systems — aids in collaborative development and project management. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and understanding of each skill. Eligibility Criteria This role is designed for recent graduates with a strong academic background and a keen interest in machine learning and data handling. A Bachelor's Degree in Computer Science, Engineering, or related fields is preferred for its relevance to the role. Eligible batches include 2024, 2025, and 2026 graduates, ensuring fresh perspectives in the team. No prior experience is required, making this role ideal for recent graduates. A minimum CGPA of 6.0 is expected to ensure a solid academic foundation. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge. Documentation & Portfolio Requirements Submit your resume in a clear format, including your academic achievements, relevant projects, and any technical skills that align with the role. Pro tip: Highlight any hands-on experience with Python or machine learning projects in your application to stand out. Salary for Cognitive Solutions & Machine Learning at Cognizant 💰 Compensation ₹4–7 LPA* The advertised compensation for the Cognitive Solutions & Machine Learning role at Cognizant is ₹4–7 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Cognizant The selection process at Cognizant is designed to identify candidates who not only possess the required technical skills but also align with the company's values and culture. 1 Online Assessment — 60 minutes, testing aptitude and basic programming skills. 2 Technical Interview — focuses on machine learning concepts, Python, and data handling. 3 Behavioral Interview — assesses cultural fit and problem-solving abilities through situational questions. 4 HR Interview — discusses offer details and company culture, typically within a week of the last round. Topic-wise Preparation Guide Round 1: Online Assessment Aptitude — quantitative reasoning and logical reasoning skills are crucial for problem-solving — Khan Academy Basic Programming — understanding Python syntax and basic algorithms is essential — HackerRank Data Interpretation — ability to analyze and interpret data from graphs and tables — GeeksForGeeks Machine Learning Concepts — foundational knowledge of ML algorithms and their applications — Coursera Round 2: Technical Interview Python Libraries — focus on libraries like Pandas and NumPy for data manipulation — W3Schools Machine Learning Algorithms — understanding supervised vs. unsupervised learning — Coursera Data Preparation Techniques — knowledge of data cleaning and preprocessing methods — GeeksForGeeks Statistical Analysis — familiarity with statistical methods for validating model outputs — Khan Academy Model Evaluation Metrics — understanding accuracy, precision, and recall — Coursera Round 3: Behavioral Interview Behavioral questions — use the STAR method to articulate past experiences — MindTools Team Collaboration — discuss experiences working in teams and handling conflicts — YouTube Technical Deep-Dive — be prepared to explain a project or concept in detail — freeCodeCamp Timeline & Expectations The entire selection process typically spans 2-4 weeks from application submission to receiving an offer. Focus on demonstrating both your technical expertise and cultural fit during interviews to align with Cognizant 's values. Expected Interview Questions for Cognitive Solutions & Machine Learning at Cognizant These questions are based on the role's actual tech stack and competencies required. Technical Questions Explain the difference between supervised and unsupervised learning. How do you handle missing data in a dataset? What is the purpose of feature scaling in machine learning? Describe a project where you used Python for data analysis. What libraries would you use for data manipulation in Python ? How do you validate the performance of a machine learning model? Behavioral Questions Describe a time you worked in a team to solve a problem. How do you prioritize tasks when working on multiple projects? Tell me about a challenge you faced and how you overcame it. How do you handle feedback and criticism? Role-Specific Questions What steps would you take to prepare data for a machine learning model? How do you ensure the quality of data used in machine learning? What are the key considerations when testing an AI model? Structure your answers using the STAR method to clearly articulate your thought process and experiences. Resume Tailoring & ATS Keywords for Cognitive Solutions & Machine Learning Optimizing your resume for ATS is crucial to ensure it gets noticed for this role. ATS Keywords to Include Cognitive Solutions Machine Learning Data Handling Python Scripting Data Preparation Model Development AI Processes Documentation Collaboration Statistical Analysis Data Cleaning Resume Tips for This Role Highlight relevant coursework in machine learning or data science. Emphasize any projects or internships related to AI or data analysis. Include a link to your GitHub or portfolio showcasing your work. Optimize for ATS by using keywords from the job description. Avoid including unrelated work experience that does not demonstrate relevant skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include unrelated skills or experiences that do not align with the job description. About Cognizant Cognizant was founded in 1994 and has expanded to employ over 300,000 professionals across more than 40 countries . With its headquarters in Teaneck, New Jersey , the company has established a significant global footprint, providing technology services that cater to diverse industries. Specializing in digital transformation, Cognizant offers a range of services including AI , cloud computing , and IoT . Their innovative platforms, such as Cognizant Cloud and Cognizant AI , empower businesses to leverage technology for enhanced operational efficiency and customer engagement. The company culture at Cognizant emphasizes collaboration and continuous learning, earning it a Glassdoor rating of 4.2 . Employee programs, including mentorship initiatives and wellness benefits, reflect its commitment to fostering a supportive work environment that values employee satisfaction. Recently, Cognizant announced a strategic partnership with Google Cloud to enhance its AI capabilities, showcasing its dedication to innovation. This collaboration aims to integrate advanced machine learning solutions into their service offerings, further solidifying their position in the technology sector. For freshers in technology, Cognizant serves as an excellent launchpad, providing access to extensive resources and mentorship. The company’s focus on skill development and career progression equips new employees with the tools necessary to thrive in the rapidly evolving tech landscape. Why Join Cognizant as Cognitive Solutions & Machine Learning? Joining Cognizant as a Cognitive Solutions & Machine Learning professional offers a unique opportunity to develop essential skills in a supportive environment, paving the way for a successful career in technology. Hands-On Python Training — Gain practical experience in Python, a critical skill for building effective machine learning models. Data Handling Expertise — Learn advanced data handling techniques that are vital for successful AI implementations. Career Advancement Opportunities — Progress to roles such as Data Scientist or AI Engineer within 1-2 years, enhancing your career trajectory. Collaborative Culture — Experience a work environment that emphasizes teamwork and continuous learning, fostering professional growth. Flexible Work Model — Enjoy a hybrid work model that promotes work-life balance while pursuing your professional goals. According to NexisGrow.com, the role of Cognitive Solutions & Machine Learning at Cognizant is an excellent entry point for those looking to build a robust career in technology, with ample resources for skill development and mentorship. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Cognitive Solutions & Machine Learning at Cognizant? Eligibility Tap to expand + Answer Candidates with Bachelor's Degree and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Machine Learning Basics, Data Handling, Python, Scripting, Data Preparation. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹4–7 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Cognizant? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Machine Learning Basics, Data Handling, Python, Scripting, Data Preparation. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Cognitive Solutions & Machine Learning interview? Preparation Tap to expand + Answer (1) Core concepts of Machine Learning Basics, Data Handling, Python, Scripting, Data Preparation, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Cognizant research, (5) Clear communication. ? What is the work culture like at Cognizant? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in India Browse all Tech jobs Latest Fresher jobs More jobs at Cognizant Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com