Data Science and AI Expert

6 days ago

Mumbai, Maharashtra, India Blanket Technologies Full time

Job Summary

Blanket Technologies seeks a highly skilled Data Science and AI Expert to lead our computer vision and machine learning initiatives. The ideal candidate will have a strong background in developing predictive models, ML algorithms, and statistical analyses to solve complex problems in hardware feedback, customer experience, and product capabilities.

Key Responsibilities

• Design and develop predictive models, machine learning algorithms, and statistical analyses for complex problems in hardware feedback, customer experience, and product capabilities.

• Evaluate the performance of AI/ML/Computer Vision models/algorithms using relevant metrics and industry-specific requirements.

• Participate in the full lifecycle of AI projects, from ideation and model development to implementation, validation, and deployment.

• Create informative and visually appealing data visualizations and reports to effectively communicate complex computer vision concepts and project outcomes to diverse stakeholders.

• Identify opportunities for innovation and improvement in analytics and data-driven decision-making, and develop strategies to implement these changes.

• Collaborate with cross-functional teams to integrate computer vision and machine learning solutions into our products and services.

Requirements and Qualifications

• Ph.D. in Computer Vision, Machine Learning, Computer Science, Clinical Machine Learning, or a related field, or equivalent practical experience.

• 6+ years of professional experience as a Data Scientist with a significant focus on healthcare data analysis and modeling.

• Proven expertise in developing models for diverse computer vision tasks, including segmentation, recognition, classification, and domain adaptation.

• Exceptional programming skills in Python, with the ability to process large-scale image datasets using Linux/Bash.

• Proficiency in utilizing modern deep learning frameworks, including PyTorch, JAX, and Keras.

• Extensive hands-on experience working with biomedical imaging modalities, including MRI, CT, and ultrasound.

• Strong familiarity with modern representation learning approaches, such as self-supervised learning, transfer learning, multi-modal modeling, and few-shot learning.

• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

Benefits

• Competitive salary and benefits package.

• Opportunities for career growth and professional development.

• Collaborative and dynamic work environment.

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