AI/ML Engineer - Computer Vision NLP Predictive Analytics

Role Overview: As an AI/ML Engineer at our corporate client, you will be responsible for designing, developing, and deploying scalable Artificial Intelligence and Machine Learning solutions. Your role will involve transforming complex datasets into business-ready insights by building and deploying ML/DL models across various domains such as Computer Vision, NLP, and Predictive Analytics. You will work on end-to-end AI solutions, from data preparation and model development to deployment and optimization. Key Responsibilities: - Design, develop, and deploy scalable Machine Learning and Deep Learning models. - Build AI solutions across Object Detection, Image Segmentation, Computer Vision Applications, NLP-based Solutions, Recommendation Systems, Forecasting Models, and Churn & Propensity Models. - Develop and maintain data pipelines, feature engineering workflows, data models, and ML tools and frameworks. - Analyze large datasets to extract meaningful business insights. - Create clear and impactful data visualizations and reports. - Optimize model performance, accuracy, and scalability. - Collaborate with product, engineering, and business teams. - Mentor junior ML engineers and contribute to AI best practices. Qualifications Required: - Solid programming experience in Python / R / C / C++. - Robust understanding of Machine Learning algorithms, Deep Learning architectures, model evaluation techniques, and data preprocessing. - Hands-on experience with TensorFlow, Keras, and PyTorch. - Experience working with Computer Vision, NLP, and Predictive Analytics projects. - Solid problem-solving and analytical skills. - Ability to convert business problems into AI/ML solutions. (Note: The job description does not include any additional details about the company.) Role Overview: As an AI/ML Engineer at our corporate client, you will be responsible for designing, developing, and deploying scalable Artificial Intelligence and Machine Learning solutions. Your role will involve transforming complex datasets into business-ready insights by building and deploying ML/DL models across various domains such as Computer Vision, NLP, and Predictive Analytics. You will work on end-to-end AI solutions, from data preparation and model development to deployment and optimization. Key Responsibilities: - Design, develop, and deploy scalable Machine Learning and Deep Learning models. - Build AI solutions across Object Detection, Image Segmentation, Computer Vision Applications, NLP-based Solutions, Recommendation Systems, Forecasting Models, and Churn & Propensity Models. - Develop and maintain data pipelines, feature engineering workflows, data models, and ML tools and frameworks. - Analyze large datasets to extract meaningful business insights. - Create clear and impactful data visualizations and reports. - Optimize model performance, accuracy, and scalability. - Collaborate with product, engineering, and business teams. - Mentor junior ML engineers and contribute to AI best practices. Qualifications Required: - Solid programming experience in Python / R / C / C++. - Robust understanding of Machine Learning algorithms, Deep Learning architectures, model evaluation techniques, and data preprocessing. - Hands-on experience with TensorFlow, Keras, and PyTorch. - Experience working with Computer Vision, NLP, and Predictive Analytics projects. - Solid problem-solving and analytical skills. - Ability to convert business problems into AI/ML solutions. (Note: The job description does not include any additional details about the company.)