Job Url: https://www.indeed.com/jobs?q=python&l=United+States&fromage=1&sc=0kf%3Aattr%28DSQF7%29%3B&from=searchOnDesktopSerp&vjk=9b0ca0923818c27d Job Description: Google AI Specialist- job post Executive Recruiting Arlington, VA 22201•Remote Executive Recruiting Arlington, VA 22201•Remote Apply now Profile insights Here’s how the job qualifications align with your profile. Skills Python  (Required) Generative AI  (Required) TensorFlow + show more Do you have experience in TensorFlow? Yes No Skip   Full job description We are seeking a highly skilled Google AI Specialist to implement, optimize, and manage Google's latest artificial intelligence tools and platforms. You will play a critical role in our strategic use of large datasets to drive actionable insights. This role will not involve direct interaction with government data. Key Responsibilities: Deploy and configure Google's AI tools (such as Vertex AI, Generative AI models, and Google Cloud AI solutions). Develop custom AI models and workflows optimized for large-scale data processing. Collaborate closely with data science and engineering teams to integrate AI solutions. Conduct rigorous testing of AI models and solutions to ensure accuracy, reliability, and performance. Ensure scalability, security, and performance optimization of AI applications. Troubleshoot and resolve issues related to Google AI implementations. Provide technical leadership and guidance on best practices for AI solutions. Qualifications: Proven experience with Google's AI products, including Vertex AI, BigQuery ML, and Google's Generative AI offerings. Strong proficiency in Python, TensorFlow, and other AI/ML libraries and frameworks. Hands-on experience deploying scalable AI models in cloud environments (specifically Google Cloud Platform). Knowledge of data integration and ETL pipelines. Excellent problem-solving, analytical, and communication skills. Ability to work independently in a remote environment with minimal supervision. Preferred Experience: Experience with large datasets or big data analytics projects. Familiarity with containerization tools (Docker, Kubernetes). Relevant Google certifications (Google Cloud Professional Data Engineer, Google Cloud Professional ML Engineer). Location: Remote (offshore candidates encouraged to apply) Compensation: Competitive, commensurate with experience. How to Apply: Please submit your resume along with relevant portfolio samples or project details demonstrating your expertise in Google AI technologies.   If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.