AI Developer

Codezyng Pvt. Ltd.; Udupi district; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Codezyng Pvt. Ltd. is seeking an AI Engineer with 2–5 years of hands-on experience to design, develop and deploy machine learning and AI-based video analytics solutions.

You will work on object detection, classification, tracking and action recognition across large video datasets. The role emphasizes deep learning model optimization, production deployment, and collaboration with engineering teams to build real-time and batch video processing pipelines.

Qualifications

• Bachelor's or 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.
• 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

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.

Skills

AI/ML fundamentals

Computer vision / video analytics

Python programming

Model deployment / inference

Problem solving / startup pace

Education

Bachelor's or Master's in Computer Science/AI/ML/Data Science

Tools

TensorFlow

PyTorch

Keras

OpenCV

NumPy

Pandas

TensorRT

ONNX

TorchScript

Docker

Kubernetes

MLflow

Kubeflow

FFmpeg

GStreamer

AWS

GCP

Azure

scikit-learn

Job description

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