Senior AI Engineer

·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.