AI Developer

Actively Reviewing

Codezyng

Udupi Full-Time 4–8 yrs exp Posted 1 day ago · Apply by Sep 14, 2026

Job Description

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

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