Job Title: Computer Vision modeler （AI/ML Data Scientist）

Job Overview:

We are seeking a talented and motivated **AI/ML Data Scientist (Computer Vision Modeler)** to design, develop, and implement real-time **Computer Vision (CV)** models. In this role, you will leverage your expertise in machine learning, computer vision, and cutting-edge technologies to create robust solutions for object recognition, detection, and more. This position requires proficiency in Python, deep learning frameworks, and familiarity with NVIDIA technologies and MLOps practices.

 **Key Responsibilities:**

– Develop and deploy **real-time computer vision models** for applications like object detection and recognition.
– Design and implement **CV/ML models** using frameworks such as **PyTorch** and **TensorFlow**.
– Leverage **NVIDIA technologies** to optimize model training and inference.
– Collaborate with the MLOps team to ensure seamless deployment, scalability, and monitoring of models.
– Conduct data preprocessing, feature engineering, and exploratory data analysis for CV tasks.
– Continuously improve model performance through tuning, validation, and experimentation.

**Required Qualifications:**

– **Educational Background:** Bachelors or Masters degree in **Computer Science, Data Science, Machine Learning**, or a related field.

– **Technical Skills:**

– Proficiency in **Python** and deep learning frameworks like **PyTorch** and **TensorFlow**.
– Experience developing and deploying real-time computer vision models.
– Familiarity with NVIDIA tools and technologies (e.g., CUDA, TensorRT).
– Knowledge of **MLOps** practices for scalable deployment and monitoring.
– **Experience:** Proven experience in **object recognition**, **detection**, and general computer vision tasks.