Data/Modeling Scientist

Key Responsibilities:

• Develop and implement machine learning/deep learning models for computer vision tasks, including image processing, object detection, object tracking, and video analysis & advance data modeling.
• Design and build robust end-to-end pipelines for data processing and analysis to solve complex manufacturing challenges.
• Conduct a thorough statistical analyses to support data-driven decision-making and validate model performance.
• Collaborate with cross-functional teams to identify opportunities for data-driven solutions and translate business needs into technical requirements.
• Ensure code quality, maintainability, and best practices in model deployment and integration.
• Stay updated with the latest trends and advancements in machine learning and computer vision technologies.
• Optimize model performance and scalability for deployment in production environments.

Key Qualifications & Requirements

Specific academic or professional qualifications/experience/competence necessary for this position

Education Qualification:

• Ph.D/Masters (preferred) or bachelor’s degree in computer science, Data Science, Engineering, Statistics, or a related field.

Technical Competence & Skills:

• Experience with machine learning and deep learning frameworks, including TensorFlow, PyTorch, or Keras.
• Strong understanding of ML and DL concepts, and their application in computer vision.
• Good understanding about the core computer vision tasks and a strong proficiency in image processing techniques such as filtering, thresholding, morphological operations, and image transformations.
• Experience working with large-scale datasets, annotating images, and creating datasets for training computer vision models.
• Strong database knowledge and familiarity with version control tools such as GitHub.
• Familiarity with containerization technologies like Docker is an added advantage.
• Exposure to Edge Computing and deploying models on devices like Jetson or Raspberry Pi for real-time CV applications is a plus.

Leadership Competence:

• Strong problem-solving mindset and logical thinking.
• Ability to collaborate effectively with cross-functional teams.
• Positive attitude toward continuous learning and acquiring new skills.
• Excellent communication skills, both verbal and written.
• Strong teamwork and interpersonal skills.
• Managing skills: Ability to mentor a team, prioritize tasks effectively, and manage multiple projects simultaneously.

Relevant Experience:

• 2 to 3 years of hands-on experience in data science with a strong focus on computer vision.