The AI Trainee Program is designed to groom fresh graduates into specialized roles across AI/ML, MLOps, and Product Business Analysis. Trainees will undergo structured training, work on real-world projects, and later specialize based on their interests and performance.
What You’ll Be Doing
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Learn and apply data science, machine learning, and product analysis fundamentals.
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Work on data collection, cleaning, and exploratory data analysis (EDA).
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Assist in building, training, and deploying ML models.
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Gain exposure to MLOps tools, CI/CD workflows, and cloud platforms.
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Collaborate with cross-functional teams for product requirement gathering and documentation.
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Participate in Agile ceremonies and contribute to product development discussions.
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Document findings, workflows, and create clear product or model documentation.
What We’d Love To See
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Knowledge of Python, SQL, and basic statistics.
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Familiarity with ML libraries (Pandas, NumPy, Scikit-learn).
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Strong analytical and problem-solving skills.
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Basic understanding of software development lifecycle or Agile methodology.
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Good communication and documentation skills.
It’d Be Great If You Had
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Exposure to TensorFlow or PyTorch.
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Basic knowledge of Docker, MLflow, or cloud ML services (AWS, GCP, Azure).
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Familiarity with visualization tools (Tableau, Power BI) and Agile tools (Jira, Confluence).
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Interest in product management or business analysis (BRDs, FRDs, wireframing).