We are seeking an experienced Computer Vision Engineer  to join our team on a short-term project focused on implementing advanced computer vision solutions. This role requires a blend of hands-on technical expertise, project-based collaboration, and familiarity with data science and cloud technologies. You will be instrumental in designing and deploying solutions to tackle complex visual data challenges, with the goal of achieving high-impact results.

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Key Responsibilities:

• Develop and implement computer vision algorithms to support project requirements, from data processing to deployment.
• Collaborate across teams to integrate computer vision models and algorithms into broader project workflows.
• Leverage Databricks to manage and process large datasets, supporting data-driven model development.
• Oversee the software development lifecycle (SDLC) to ensure structured and efficient project execution.
• Utilize cloud infrastructure to enhance model scalability and deployment efficiency.
• Conduct validation and testing of computer vision models, ensuring accuracy and effectiveness.

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Required Qualifications:

• Experience:
  • Minimum 2 years of hands-on experience with computer vision projects.
  • Total experience between 5 to 10 years (maximum) in related fields.

• Education: Master’s degree in Computer Science, Engineering, or a related discipline; PhD in Computer Vision is an added advantage.

• Technical Skills:
  • Proficiency in computer vision tools (e.g., OpenCV, TensorFlow, PyTorch).
  • Familiarity with Databricks for data processing and analysis.
  • Understanding of the full SDLC and best practices for project-based software development.
  • Knowledge of cloud infrastructure (e.g., AWS, Azure, Google Cloud).
  • Strong programming skills in Python or other relevant languages.

• Data Science Knowledge: Foundational understanding of data science concepts to support model optimization and integration.