Wipro is seeking enthusiastic fresh graduates to join as Machine Learning Trainees in the Data Science Department. This entry-level role is designed to provide comprehensive training and practical exposure to machine learning, artificial intelligence, and data analytics. As a Machine Learning Trainee, you will work on real-world datasets, assist in developing predictive models, and support data-driven solutions that help clients make informed business decisions. The role combines structured learning, mentorship from experienced professionals, and hands-on project experience, making it an ideal starting point for a career in AI and data science.
Key Responsibilities:
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Assist in collecting, cleaning, and preprocessing structured and unstructured data from multiple sources.
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Support the development and implementation of machine learning models for predictive analytics.
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Analyze datasets to identify trends, patterns, and actionable insights.
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Create visualizations and reports to communicate findings effectively to stakeholders.
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Collaborate with data scientists, business analysts, and project managers to understand project requirements.
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Participate in the evaluation and improvement of existing machine learning models and algorithms.
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Document methodologies, model processes, and results for internal use and knowledge sharing.
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Engage in training sessions to enhance technical skills in AI, machine learning, and data analytics tools.
Required Skills and Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related fields.
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Basic programming knowledge in Python, R, or SQL.
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Understanding of machine learning concepts, algorithms, and data analysis techniques.
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Familiarity with ML libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras.
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Strong analytical, problem-solving, and logical reasoning abilities.
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Good written and verbal communication skills in English.
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Curiosity and eagerness to learn emerging technologies in AI and machine learning.
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Ability to work effectively in a team-oriented environment.
Experience:
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Fresh graduates from 2023, 2024, or 2025 batch are eligible.
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Academic projects, internships, or certifications in machine learning, AI, or data analytics are advantageous but not mandatory.
Working Hours:
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Full-time position, typically 9:00 AM – 6:00 PM, Monday to Friday.
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Flexibility may be required depending on project deadlines and business requirements.
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Work location may be on-site, remote, or hybrid, depending on project allocation and Wipro policies.
Knowledge, Skills, and Abilities:
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Understanding of statistical analysis, data modeling, and predictive analytics.
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Ability to manipulate and analyze large datasets accurately.
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Familiarity with machine learning frameworks, data visualization, and reporting tools.
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Strong organizational skills with attention to detail.
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Analytical mindset with a proactive approach to problem-solving.
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Good interpersonal skills for collaborating with cross-functional teams.
Benefits:
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Hands-on experience with real-world machine learning and AI projects.
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Structured training and mentorship from experienced data scientists.
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Access to Wipro’s learning and development platforms for continuous skill enhancement.
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Internship or employment certificate and performance evaluation to support career growth.
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Exposure to the latest technologies and tools in AI, ML, and data science.
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Career growth opportunities in analytics, machine learning, and AI domains.
Why Join Wipro:
Wipro is a leading global IT services and consulting company known for innovation and excellence. The Machine Learning Trainee Program provides fresh graduates with practical experience, mentorship, and exposure to cutting-edge AI and ML technologies. Joining Wipro equips trainees with the skills, knowledge, and confidence required to excel in the rapidly evolving field of data science, while experiencing a supportive and collaborative work environment.
How to Apply:
Candidates can apply through Wipro’s official careers portal by submitting an updated resume and academic transcripts. Shortlisted candidates will undergo an online assessment, followed by technical and HR interviews. Ensure that your contact details are accurate to receive timely updates regarding assessments and interview schedules.
