AI Consultant, Cloud Professional Services

Key Skills

Aartificial intelligence, AI technology, Analytical and Problem solving, Caffe, CNTK, Computer Vision (CV), Data Analytics, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), Project management, Python Programming, R Programming, Recommendation Systems, Regression pattern finding, Scikit-learn, SparkML, TensorFlow, Torch library

Job Description

Minimum qualifications:

• Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• 8 years of experience in project managing and delivering technical solutions.
• Experience in one or more areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
• Experience in technical client service (i.e., consulting).

Preferred qualifications:

• MBA or Master's degree in Computer Science or a related Engineering field.
• Experience in systems design with the ability to architect and explain data analytics pipelines and data flows.
• Experience in a statistical programming language like R or Python and applied machine learning techniques (i.e., dimensionality reduction strategies, classification, and natural language processing frameworks).
• Experience in designing and deploying with one or more of the following technologies: TensorFlow, Spark Machine Learning, Torch, Caffe, Scikit-learn.
• Excellent communication, written, presentation, and problem solving skills.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As an AI Consultant, you will work directly with Google’s most strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help them develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions via Google’s Cloud Platform. You will also work closely with key Google partners servicing top accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise. You possess a background in developing AI solutions applying key industry tools, techniques and methodologies. To be successful, you know how to navigate ambiguity, you are a technical expert in your field, and you can deliver customer success. You also possess excellent client-facing communication and project management skills.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement.
• Work with internal specialists, Product and Engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.
• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience.
• Propose solution architectures and manage the deployment of cloud based machine learning solutions according to complex customer requirements and implementation best practices.
• Travel approximately 30% of the time for client engagements.