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About the role
Responsibilities: Data Analysis: Assist in collecting, cleaning, and analyzing data to uncover insights and prepare datasets for model training. Model Development: Support the design and implementation of machine learning models and algorithms under the guidance of senior team members. Experimentation: Conduct experiments to evaluate model performance and contribute to the optimization of algorithms. Documentation: Help in documenting experiments, processes, and results to ensure clarity and reproducibility. Collaboration: Work with cross-functional teams to integrate AI/ML solutions into existing systems and processes. Learning: Engage in ongoing learning and development opportunities to enhance your understanding of AI/ML concepts and technologies. Required Skills & Experience Educational Background: Currently pursuing or recently completed a degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. Technical Skills: Familiarity with programming languages such as Python or R,and experience with data manipulation libraries (e.g., Pandas, NumPy). Machine Learning Knowledge: Basic understanding of machine learning concepts and algorithms (e.g., regression, classification, clustering). Analytical Skills: Strong problemsolving abilities with attention to detail and the ability to work with large datasets. Communication: Good verbal and written communication skills, with the ability to articulate complex concepts clearly. Team Player: Ability to work effectively in a collaborative team setting and take initiative in a fast-paced setting. Preferred / Good-to-Have SkillsProjects or Coursework: Experience with AI/ML projects or relevant coursework is a plus. Tools and Libraries: Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn is advantageous. Compensation: 165,882.98 - 462,964.23 per year Application Question(s): - We are not hiring freshers for this position. Candidates must have a minim .
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