·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.
·Ensuring adherence to all health, safety, and environmental regulations
at local, national, and international levels
·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&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.
Requirements
Minimum Qualifications
• Bachelor’s degree in AI, Remote Sensing, Survey, Engineering,
or any other related fields
Minimum Experience:
• Preferably 3-5 years’ experience in the same field
Job-Specific Knowledge & Skills:
·Experience
developing machine learning models and neural network-based computer vision
models. (3+ years)
·Experience
deploying production grade ML and vision systems on the edge for real-time
applications. (3+years)
·Python
expertise.
·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 plus
·Experience
with MLOps tools such as Kubeflow will be a plus.
·Experience
with web development frameworks (e.g 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.
