AI Engineer - Remote

Higher Brain Living®; New Delhi; Remote; INR 1,000,000 - 1,500,000; Full time

Job summary

A technology solutions company in New Delhi is seeking an AI Engineer to develop and deploy a proof-of-concept AI model for object detection. The ideal candidate should have 3-5 years of experience in AI, strong skills in Computer Vision, and proficiency in Python. Responsibilities include designing models, optimizing performance, and troubleshooting in a collaborative environment.

Qualifications

• 3-5 years of coding experience in AI with Python or similar languages.
• Strong background in developing and deploying Computer Vision models.
• Hands-on experience in deep learning and object detection.

Responsibilities

• Design, develop, and train a Computer Vision model to detect objects.
• Optimize performance using deep learning architectures.
• Create data preprocessing pipelines for screen share conditions.
• Implement ML frameworks and assist in model deployment.
• Document development and evaluation processes.

Skills

Python

Deep learning (CNNs, object detection)

Problem-solving skills

Communication skills

Collaboration skills

Education

B. Tech in Computer Science, Artificial Intelligence, or related field

Tools

TensorFlow

PyTorch

OpenCV

AWS SageMaker

Google Cloud AI Platform

Azure Machine Learning

Job description

Job Summary:
We are seeking an AI Engineer with expertise in Computer Vision and Machine Learning to develop and deploy a proof-of-concept (POC) AI model for object detection. This role will involve the entire ML lifecycle, from data preprocessing and model development to deployment and performance evaluation, working closely with the team to deliver an innovative solution.

Main Responsibilities:

Design, develop, and train a Computer Vision model to detect objects in screen share video streams.

Experiment with deep learning architectures (e.g., CNNs, object detection models) to optimize performance.

Create robust data preprocessing pipelines to handle varying screen share conditions (e.g., resolution, lighting).

Assist in selecting and implementing appropriate ML frameworks and libraries such as TensorFlow, PyTorch, OpenCV, and YOLO.

Troubleshoot issues related to model development, training, and implementation.

Recommend and help deploy the POC model to environments like cloud or edge platforms.

Define and implement evaluation metrics (accuracy, precision, recall, F1-score) to assess model performance.

Analyze model performance, identifying areas for improvement.

Document the development, deployment, and evaluation processes.

Main Requirements:

B. Tech in Computer Science, Artificial Intelligence, or related field.

3-5 years of coding experience in AI, with proficiency in Python or similar languages.

Strong background in developing and deploying Computer Vision models, with hands-on experience in deep learning (CNNs, object detection).

Experience with cloud-based ML platforms (e.g., AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning).

Familiarity with ML frameworks such as TensorFlow, PyTorch, and OpenCV.

Strong analytical and problem-solving skills, with an ability to troubleshoot complex issues.

Excellent communication and collaboration skills.