·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&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 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 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.
Fluency in English.
