The Role
Design, train, optimize, and deploy machine learning and deep learning models for video analysis, including object detection, classification, tracking, and action recognition. Process large-scale video datasets, collaborate on real-time and batch inference pipelines, and apply computer vision advancements to production products. Responsibilities also include model optimization, deployment, and scalable production inference.
Summary Generated by Built In
Job Title: AI Developer
Experience:2-5 Years
Location: Udupi
Job Summary:
We are seeking a passionate and skilled AI Engineer with 2 to 5 years of hands-on experience to join our team. You will be responsible for designing, developing, and deploying machine learning and AI-based solutions that drive value across our products and services. If you have a strong foundation in AI/ML techniques and a desire to build impactful systems at scale, we'd love to connect.
Key Responsibilities:
Key Responsibilities:
- Research, design, and implement ML/DL models for video analysis (object detection, classification, tracking, action recognition).
- Work with large-scale video datasets: preprocessing, annotation, and model training.
- Optimize deep learning models for accuracy, performance, and scalability in production environments.
- Collaborate with engineering teams to deploy models into real-time and batch video processing pipelines.
- Stay updated with the latest advancements in computer vision and ML to integrate into product development.
Requirements
Required Skills & Qualifications:
- Bachelor's/Master's in Computer Science, AI/ML, Data Science, or related field.
- 2–5 years of experience in AI/ML with focus on computer vision or video analytics.
- Strong hands-on experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
- Experience with video analysis techniques: CNNs, RNNs, 3D-CNNs, Transformers for vision, etc.
- Solid programming skills in Python and familiarity with ML libraries (scikit-learn, OpenCV, NumPy, Pandas).
- Experience in model deployment, optimization, and inference (TensorRT, ONNX, TorchScript, etc.).
- Strong problem-solving skills and ability to work in a fast-paced startup-like environment.
Soft Skills:
- Knowledge of video streaming technologies (FFmpeg, GStreamer).
- Experience with distributed training, GPU acceleration, or cloud-based ML platforms (AWS, GCP, Azure).
- Familiarity with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).
- Publications, Kaggle participation, or open-source contributions in computer vision/ML
Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
- 2 to 5 years of experience in AI/ML, focused on computer vision or video analytics
- Hands-on experience with TensorFlow, PyTorch, and Keras
- Experience with video analysis techniques including CNNs, RNNs, 3D-CNNs, and vision Transformers
- Strong Python programming skills
- Familiarity with scikit-learn, OpenCV, NumPy, and Pandas
- Experience with model deployment, optimization, and inference using TensorRT, ONNX, TorchScript, or similar technologies
- Strong problem-solving skills and ability to work in a fast-paced startup-like environment
- Knowledge of video streaming technologies such as FFmpeg and GStreamer
- Experience with distributed training, GPU acceleration, or cloud-based ML platforms such as AWS, GCP, or Azure
- Familiarity with MLOps tools including MLflow, Kubeflow, Docker, and Kubernetes
- Publications, Kaggle participation, or open-source contributions in computer vision or machine learning
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The Company
What We Do
CodeZyng is an elite app studio that helps businesses turn digital ideas into web and mobile applications. Its software engineers and technical experts develop scalable solutions using modern full-stack technologies, including React, GraphQL, Spring Boot, NestJS, Python, iOS, AWS, Google Cloud, Azure, machine learning, and artificial intelligence. The company also builds new applications, integrates existing systems, and supports technology migrations.
