Design, develop, and deploy machine learning and deep learning models for real-world applications.
Work extensively with
computer vision techniques
including CNNs, OpenCV, and image preprocessing pipelines.
Collect, clean, and annotate datasets for model training and evaluation.
Optimize models for performance and efficiency on
edge devices (e.g., NVIDIA Series systems)
.
Collaborate with cross-functional teams to integrate AI solutions into production environments.
Stay updated on emerging AI technologies and contribute to innovation initiatives.
Requirements:
Bachelor's or Master's degree in
Computer Science, E & TC, Artificial Intelligence, Data Science, or related field
.
1-2 years of hands-on experience in
AI/ML development
.
Strong proficiency in
Python
and libraries such as TensorFlow, PyTorch, OpenCV, NumPy, and Pandas.
Solid understanding of
CNNs, deep learning architectures, and computer vision algorithms
.
Experience in
model deployment and performance optimization
.
Problem-solving mindset with strong communication and teamwork skills.
Good to have:
Understanding of
camera hardware and image acquisition systems
.
Job Type: Full-time
Benefits:
Health insurance
Provident Fund
Experience:
AI/ML: 1 year (Preferred)
Work Location: In person
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