AI Engineer
Summary
Build and deploy cutting-edge computer-vision models in Python, turning research into production-grade edge-AI systems and collaborating with product teams on roadmaps and commercialization.
Develop novel state-of-the-art vision algorithms and corresponding systems leveraging deep learning techniques Research develop and prototype advanced computer vision technologies and integration with hardware edge processors Develop high-quality computer vision algorithms for localization object detection classification and video analysis Translate algorithms into production-level code Contribute to a large code base in Python for deploying these models in production environments Implement best practices for data collection preprocessing feature engineering and model training and ensure that the team follows these practices consistently Conduct regular code reviews and provide technical guidance and feedback to team members ensuring that they produce high-quality code that is efficient scalable and maintainable Interface with the Product Project manager to develop R amp D plans proposals intellectual property filings commercialization strategies and other material that facilitate the innovation process Collaborate with Product Project managers in maintaining a roadmap for the team s AI projects including identifying key milestones timelines and resource requirements Collaborate with team members to develop test deploy and maintain software AI systems while being actively involved in product backlog grooming sprint planning execution review and retrospectives Work with IT software and security teams to deploy production grade AI solutions that comply with relevant data privacy and security regulations Collaborate with subject matter experts to understand their business needs and develop ML solutions that meet their requirements
Minimum Qualifications
- Bachelor s degree in AI, Remote Sensing, Survey, Engineering, or any other related fields
- Minimum Experience: Preferably 1-3 years experience in the same field
- Job-Specific Knowledge & Skills: Experience developing machine learning models and neural network-based computer vision models.
- Experience deploying production grade ML and vision systems on the edge for real-time applications.
- Python Knowledge.
- Strong software engineering skills.
- Strong ability to present work and communicate ideas to technical and non-technical coworkers.
- Experience with machine learning libraries such as Tensorflow, Keras, Sklearn and others.
- Experience using OpenCV.
- Experience with git and other such versioning tools.
- Experience with DevOps cloud tools (AWS, Google Cloud etc.).
- Experience with NVIDIA Triton inference server will be a plus
- Experience with MLOps tools such as Kubeflow will be a plus.
- Experience with web development frameworks (e Flask, Django) will be a plus
- Experience handling a large code base in python will be a plus.
- Experience developing computer vision algorithms for anomaly detection will be a plus.
- Fluency in English.