
Associate Data Scientist
5 days ago
Come work with talented engineers, data scientists, and thought leaders from India's leading colleges.
Work closely with business leaders and founders.
Opportunities to make valuable contributions as well as learn from each other. Awesome work culture with supportive colleagues.
- **Experience**:
**1**. Minimum 1+ years of experience in a data science or analytics role, with a focus on machine learning and data analysis.
**2**. Practical experience in developing and implementing machine learning models, particularly in the field of image analysis or computer vision.
**3**. Familiarity with working on image data sets, data pre-processing, feature extraction, and model evaluation techniques.
**4**. Experience or exposure to medical imaging, including working with medical image data or projects, would be highly beneficial.
- **Educational Qualification**:
Bachelors or a Masters (preferred) degree in relevant fields such as Computer Science, Data Science, or a related discipline.
- **Skill set required**:
**1**. Proficiency in machine learning techniques for image analysis and computer vision.
**2**. Strong programming skills in Python, along with experience in relevant libraries and frameworks like TensorFlow, PyTorch, etc.
**3**. Knowledge of data pre-processing, feature engineering, and statistical analysis methods for image data.
**4**. Experience with deep learning architectures and model training for image recognition, object detection, or segmentation.
**5**. Excellent problem-solving and communication skills, with the ability to collaborate effectively in cross-functional teams.
- **Role and responsibility**:
**1**. Develop and implement machine learning models for image analysis and computer vision tasks.
**2**. Collect, clean, and pre-process image data for analysis.
**3**. Collaborate with teams to define project objectives and requirements for image AI solutions.
**4**. Evaluate and optimize image AI model performance and assist in system development.
**5**. Communicate findings effectively and contribute to ongoing projects and research initiatives.
- **Workdays**:
Monday to Friday
- **Compensation**:
As per market standards for Work Experience and knowledge.
- **Work Location**:
Pune
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