Job
Description
Role Overview: As an AI Engineer with Python at Artmac Soft, you will be responsible for leveraging your expertise in AI engineering and Python programming to develop innovative solutions. Your role will involve working with various Python libraries and frameworks, optimizing AI models, and collaborating with cross-functional teams to integrate AI solutions into products. Key Responsibilities: - Utilize 1 year of experience in AI engineering, with a focus on Python programming. - Demonstrate knowledge of Cursor AI, Render, and CloudFlare. - Proficiently use Python libraries and frameworks such as TensorFlow, PyTorch, sci-kit-learn, NumPy, and pandas. - Apply a strong understanding of machine learning algorithms and deep learning architectures. - Work with cloud platforms (e.g., AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes. - Implement CI/CD pipelines and MLOps practices. - Apply experience with natural language processing (NLP) and computer vision. - Utilize familiarity with distributed computing and big data technologies. - Demonstrate knowledge of version control systems such as Git. - Apply experience with real-time data processing and streaming. - Design, develop, and deploy AI/ML models to address business challenges. - Build and maintain scalable and efficient data pipelines for machine learning workflows. - Optimize and fine-tune AI models for performance, scalability, and accuracy. - Collaborate with cross-functional teams to integrate AI solutions into products. - Research and stay updated on the latest advancements in AI, machine learning, and deep learning. - Develop APIs and services to deploy AI models in production environments. - Conduct data preprocessing, feature engineering, and exploratory data analysis (EDA). - Monitor, evaluate, and troubleshoot deployed models to ensure reliability and performance. - Document AI solutions, workflows, and best practices. Qualifications: - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Role Overview: As an AI Engineer with Python at Artmac Soft, you will be responsible for leveraging your expertise in AI engineering and Python programming to develop innovative solutions. Your role will involve working with various Python libraries and frameworks, optimizing AI models, and collaborating with cross-functional teams to integrate AI solutions into products. Key Responsibilities: - Utilize 1 year of experience in AI engineering, with a focus on Python programming. - Demonstrate knowledge of Cursor AI, Render, and CloudFlare. - Proficiently use Python libraries and frameworks such as TensorFlow, PyTorch, sci-kit-learn, NumPy, and pandas. - Apply a strong understanding of machine learning algorithms and deep learning architectures. - Work with cloud platforms (e.g., AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes. - Implement CI/CD pipelines and MLOps practices. - Apply experience with natural language processing (NLP) and computer vision. - Utilize familiarity with distributed computing and big data technologies. - Demonstrate knowledge of version control systems such as Git. - Apply experience with real-time data processing and streaming. - Design, develop, and deploy AI/ML models to address business challenges. - Build and maintain scalable and efficient data pipelines for machine learning workflows. - Optimize and fine-tune AI models for performance, scalability, and accuracy. - Collaborate with cross-functional teams to integrate AI solutions into products. - Research and stay updated on the latest advancements in AI, machine learning, and deep learning. - Develop APIs and services to deploy AI models in production environments. - Conduct data preprocessing, feature engineering, and exploratory data analysis (EDA). - Monitor, evaluate, and troubleshoot deployed models to ensure reliability and performance. - Document AI solutions, workflows, and best practices. Qualifications: - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
