Machine Learning Technical Consultant, Google Public Sector

Google
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Job Description

Minimum qualifications:

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

Preferred qualifications:

  • Master’s degree in Engineering, Computer Science, or other technical related field.
  • Experience in systems design with ability to architect and explain data analytics pipelines and data flows.
  • Experience designing and deploying with one or more from the following technologies: TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-learn.
  • Experience in a statistical programming language (i.e., R or Python) and applied machine learning techniques (i.e., dimensionality reduction strategies, classification, and natural language processing frameworks).
  • Excellent written and verbal communication, presentation, and problem-solving skills.
  • Active US Government Top Secret/Sensitive Compartmentalized Information (TS/SCI) clearance.

About the job

Google Public Sector is solving our customer's most difficult problems, both in the civilian sector or helping our Defense and Intelligence customers solve their most challenging mission needs. Increasingly, our customers are looking to leverage the advanced capabilities of Google AI/ML to bring insights and options that they currently lack through traditional data analytics. Google's rich history and leadership in AI/ML can be the difference-maker our customers need. As a pioneer in AI, Google has been investing in responsible AI research for years. AI is embedded across our products and services used by people, and continues to be integral to creating experiences that people love. As a member of the GPS AI community, you will play an integral role in connecting advanced Google capability to our customers, while being a part of a AI community at Google. Guided by Google’s AI Principles, we believe our approach to AI must be both bold and responsible. Google Public Sector strives to work together with our government partners to ensure they are using enterprise-grade AI offerings that protect their data and IP ownership, while also adhering to Responsible AI design.

As a Machine Learning Technical Consultant, you will work directly with Google’s most strategic customers on critical projects to help them transform their businesses using AI/ML technologies. In this role, you will help customers to 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.

The US base salary range for this full-time position is $167,000-$256,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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 to overcome adoption blockers and drive new feature development.
  • Propose solution architectures and manage the deployment of cloud based machine learning solutions according to complex customer requirements and implementation best practices.
  • Work with customers, partners, and Google Product teams to deliver tailored solutions into production.

Company Info.

Google

Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
    139,995
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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Google is currently hiring Technical Lead, Machine Learning Jobs in Cambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA; Reston, VA, USA with average base salary of $167,000 - $256,000 / Year.

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