Associate Data Scientist

1 - 5 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: You will be part of a team working on building web-based applications and leading the team. Join a talented group of engineers, data scientists, and thought leaders from India's leading colleges. You will work closely with business leaders and founders, making valuable contributions and learning from each other. The company offers an awesome work culture with supportive colleagues. Key Responsibilities: - Develop and implement machine learning models for image analysis and computer vision tasks. - Collect, clean, and pre-process image data for analysis. - Collaborate with teams to define project objectives and requirements for image AI solutions. - Evaluate and optimize image AI model performance. - Assist in system development. - Communicate findings effectively. - Contribute to ongoing projects and research initiatives. Qualification Required: - Minimum 1+ years of experience in a data science or analytics role, with a focus on machine learning and data analysis. - Practical experience in developing and implementing machine learning models, particularly in image analysis or computer vision. - Familiarity with working on image data sets, data pre-processing, feature extraction, and model evaluation techniques. - Educational qualification: Bachelor's or Master's degree in relevant fields such as Computer Science, Data Science, or a related discipline. - Proficiency in machine learning techniques for image analysis and computer vision. - Strong programming skills in Python, along with experience in relevant libraries and frameworks like TensorFlow, PyTorch, etc. - Knowledge of data pre-processing, feature engineering, and statistical analysis methods for image data. - Experience with deep learning architectures and model training for image recognition, object detection, or segmentation. - Excellent problem-solving and communication skills. - Ability to collaborate effectively in cross-functional teams.,

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