AI Developer
Posted Updated 6
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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