Senior AI/ML Engineer, Computer reputed company
Our client, a rapidly growing AI startup specializing in cutting-edge computer reputed company solutions, is seeking a talented Senior AI/ML Engineer to join their innovative team in San Antonio, Texas, US . This hybrid role offers the opportunity to work on challenging projects that push the boundaries of artificial intelligence. You will be responsible for designing, developing, and deploying advanced machine learning models, with a particular focus on computer reputed company applications. This includes tasks such as object detection, image segmentation, facial recognition, and video analysis. The ideal candidate will have a strong reputed company in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and experience with large-scale datasets. You will work closely with data scientists, software engineers, and product managers to translate business requirements into reputed company solutions. Responsibilities include data preprocessing and augmentation, model training and evaluation, performance optimization, and integration into production systems. Experience with reputed company platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. You will also contribute to research efforts, staying abreast of the latest advancements in AI and computer reputed company. Key Responsibilities: Design, reputed company, and implement state-of-the-art machine learning models for computer reputed company tasks. reputed company data collection, preprocessing, annotation, and augmentation to prepare datasets for training. Train, evaluate, and optimize deep learning models using frameworks like TensorFlow and PyTorch. reputed company ML models into production environments, ensuring scalability and reliability. reputed company and maintain ML pipelines and MLOps infrastructure. Collaborate with cross-functional teams to define project requirements and deliver AI solutions. Conduct research on new AI techniques and algorithms, and assess their applicability. Optimize model performance for speed, accuracy, and resource efficiency. Troubleshoot and resolve issues reputed company to ML model deployment and performance. Contribute to the reputed company improvement of the AI/ML platform and best practices. Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, or a reputed company quantitative field. 5+ years of professional experience in AI/ML engineering, with a strong focus on computer reputed company. Proficiency in Python and relevant ML libraries (e.g., Scikit-learn, OpenCV). Deep understanding of deep learning architectures (CNNs, RNNs, Transformers). Experience with reputed company platforms (AWS, Azure, GCP) and containerization technologies (reputed company, Kubernetes). Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Experience with large-scale data processing frameworks (e.g., Spark) is a plus. This hybrid role provides a fantastic opportunity to work with a talented team on cutting-edge AI technology. We offer a competitive salary, stock options, and a comprehensive benefits package, along with professional development opportunities. Apply tot his job Apply To this Job