Contractual Role Lead Machine Learning Engineer

Role : Senior Machine Learning Engineer

Experience : 4+ Years

Work Model : Remote / Contract

Work Time : IST Time zone

Position Overview:

The Senior Machine Learning Engineer will play a critical role in designing, developing, and deploying advanced machine learning models and algorithms for video analytics applications. The ideal candidate will have extensive experience with Nvidia Metropolis, DeepStream SDK, and a strong background in computer vision and deep learning.

Key Responsibilities:

Design and implement machine learning models and algorithms for video analytics and intelligent video solutions.

Utilize Nvidia Metropolis and DeepStream SDK to develop and optimize AI models for real-time video processing.

Collaborate with cross-functional teams to understand project requirements and deliver innovative solutions.

Optimize and fine-tune deep learning models to enhance performance and accuracy.

Integrate machine learning solutions into existing systems and workflows.

Conduct research and stay up-to-date with the latest advancements in machine learning, computer vision, and video analytics.

Mentor junior engineers and provide technical guidance and support.

Qualifications:

Strong analytical and problem-solving skills.

5+ years of experience in machine learning, deep learning, and computer vision.

Proven expertise in Nvidia Metropolis and DeepStream SDK (Important)

Strong programming skills in Python, C++, and other relevant languages.

Experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras.

Familiarity with video processing libraries and tools such as OpenCV and GStreamer.

Excellent communication and teamwork abilities.

Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. A Ph.D. is a plus.

Preferred Skills:

Experience with edge computing and deploying AI models on edge devices.

Comfortable making builds and recompiling various system modules from sources.

Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.

Experience with containerization and orchestration tools such as Docker and Kubernetes.

Understanding of data pipelines and experience with big data technologies.

Prefer IITians or premium colleges only,