AI / Machine Learning Engineer

As an AI / Machine Learning Engineer with Computer Vision experience at Softkode Technologies, you will play a crucial role in designing and developing machine learning models for real-world applications. Your responsibilities will include building and optimizing computer vision models for image and video analysis, developing data pipelines, performing feature engineering, and data preprocessing. Additionally, you will train and evaluate models using frameworks like TensorFlow and PyTorch, implement image processing techniques using OpenCV, and work with datasets for object detection, image classification, and image segmentation. Key Responsibilities: - Design and develop machine learning models for real-world applications - Build and optimize computer vision models for image and video analysis - Develop data pipelines for training, testing, and evaluating ML models - Perform feature engineering and data preprocessing for structured and unstructured datasets - Train and evaluate models using frameworks such as TensorFlow and PyTorch - Implement image processing techniques using OpenCV - Work with datasets for object detection, image classification, and image segmentation - Optimize models for performance, scalability, and accuracy - Deploy ML models in production environments using APIs or cloud infrastructure - Collaborate with data engineers and backend developers to integrate AI solutions into applications Qualifications Required: - Strong programming skills in Python - Experience with ML libraries such as Scikit-learn, TensorFlow, or PyTorch - Hands-on experience with OpenCV for computer vision tasks - Experience with image processing and object detection models - Knowledge of data preprocessing, feature engineering, and model evaluation - Understanding of machine learning algorithms including: - Regression - Classification - Clustering - Decision Trees - Random Forest - Gradient Boosting Good to Have Skills: - Experience with deep learning models for computer vision (CNNs) - Knowledge of YOLO or other object detection frameworks - Experience with Docker for model deployment - Familiarity with AWS or Google Cloud Platform (GCP) - Experience handling large datasets and building data pipelines If you join Softkode Technologies, you will have the opportunity to work on cutting-edge AI and computer vision projects, solve real-world problems using machine learning, collaborate with a skilled engineering team, and grow in advanced AI technologies. Interested candidates can apply by sending their resume to: Krishnasharma@softkode.io As an AI / Machine Learning Engineer with Computer Vision experience at Softkode Technologies, you will play a crucial role in designing and developing machine learning models for real-world applications. Your responsibilities will include building and optimizing computer vision models for image and video analysis, developing data pipelines, performing feature engineering, and data preprocessing. Additionally, you will train and evaluate models using frameworks like TensorFlow and PyTorch, implement image processing techniques using OpenCV, and work with datasets for object detection, image classification, and image segmentation. Key Responsibilities: - Design and develop machine learning models for real-world applications - Build and optimize computer vision models for image and video analysis - Develop data pipelines for training, testing, and evaluating ML models - Perform feature engineering and data preprocessing for structured and unstructured datasets - Train and evaluate models using frameworks such as TensorFlow and PyTorch - Implement image processing techniques using OpenCV - Work with datasets for object detection, image classification, and image segmentation - Optimize models for performance, scalability, and accuracy - Deploy ML models in production environments using APIs or cloud infrastructure - Collaborate with data engineers and backend developers to integrate AI solutions into applications Qualifications Required: - Strong programming skills in Python - Experience with ML libraries such as Scikit-learn, TensorFlow, or PyTorch - Hands-on experience with OpenCV for computer vision tasks - Experience with image processing and object detection models - Knowledge of data preprocessing, feature engineering, and model evaluation - Understanding of machine learning algorithms including: - Regression - Classification - Clustering - Decision Trees - Random Forest - Gradient Boosting Good to Have Skills: - Experience with deep learning models for computer vision (CNNs) - Knowledge of YOLO or other object detection frameworks - Experience with Docker for model deployment - Familiarity with AWS or Google Cloud Platform (GCP) - Experience handling large datasets and building data pipelines If you join Softkode Technologies, you will have the opportunity to work on cutting-edge AI and computer vision projects, solve real-world problems using ma