Job Url: https://www.remoterocketship.com/company/trillionsedge/jobs/ai-engineer-united-states Job Description: TRILLIONS EDGE Website LinkedIn All Job Openings TRILLIONS EDGE is a comprehensive service provider specializing in innovative web, app, and software design, development, and management. The company helps businesses thrive by creating seamless digital experiences that drive engagement and efficiency. In addition to development services, TRILLIONS EDGE functions as a full-service advertising, marketing, and branding agency, offering a broad range of services from business establishment and management to targeted marketing campaigns and SEO optimization, all aimed at enhancing brand visibility and connecting businesses with their audiences. 201 - 500 employees Founded 2020 🛍️ eCommerce AI Engineer May 28 🗽 New York – Remote ⏰ Full Time 🟢 Junior 🟡 Mid-level 🤖 AI Engineer AWS Azure Cloud Docker Google Cloud Platform Java Kafka Kubernetes Python PyTorch Scikit-Learn Spark Tensorflow Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • Develop and implement AI and machine learning models for various applications (e.g., NLP, computer vision, recommendation systems). • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. • Optimize and scale ML models for performance and efficiency in production environments. • Deploy models using frameworks such as TensorFlow, PyTorch, or ONNX, and tools like Docker and Kubernetes. • Build and maintain data pipelines and infrastructure to support AI solutions. • Conduct research to stay updated on the latest trends and advancements in AI/ML. • Perform model evaluation, A/B testing, and fine-tuning to improve accuracy and efficiency. • Document processes, experiments, and code in a clear and maintainable manner. 🎯 Requirements • Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related field. • 2+ years of experience in developing and deploying AI/ML models. • Proficient in programming languages such as Python, Java, or C++. • Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling. • Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). • Experience with MLOps practices and tools (e.g., MLflow, Kubeflow). • Understanding of data engineering and working with large-scale datasets. • Knowledge of real-time ML systems and streaming data frameworks (e.g., Kafka, Spark). • Contributions to open-source AI projects or research publications. Apply Now