Top Alphabet AI Jobs to Apply for in April 2022

AI and ML Jobs


Technology companies such as Meta and Alphabet Inc. are offering a range of AI jobs for April 2022 that you can apply for.

Technologies such as machine learning, artificial intelligence, and big data are receiving a lot of attention. A well-paying career in artificial intelligence is the dream of every aspiring AI professional. There is a huge demand for various AI jobs. Technology companies like Meta and Alphabet Inc. are looking for skilled artificial intelligence professionals to leverage the world's most advanced technologies to produce the best results. Artificial intelligence has grown five times in recent years. As new technologies emerge, more technology professionals are attracted to careers in AI. Alphabet Inc. is an American multinational technology company and the parent company of Google and several former Google subsidiaries. This article features Alphabet's Best AI Jobs that you can apply for in April 2022.

Cloud Engineer, Machine Learning, Big Data

Location: Gurugram, Haryana, India

  • We provide effective big data and machine learning solutions to solve our customers' complex technical challenges.
  • Serve as a trusted technical advisor to Google's most strategic customers.
  • You will identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with product managers and engineers to influence the Google Cloud Platform roadmap.
  • We provide best practice recommendations, tutorials, blog articles, and technical presentations tailored to various levels of key business and technical stakeholders.

Cloud Migration Consultant, AI/ML, Google Cloud

Location: Gurugram, Haryana, India

  • Interact with internal technical stakeholders to translate complex customer requirements into appropriate solution architecture and consulting services recommendations.
  • Work with executives, technology leaders, and partners to lead a rapid migration to GCP.
  • Create communication strategies, risk and issue management frameworks, status reports, project matrices, and track timelines.
  • Specializes in program management and orchestration of large-scale cloud engagements, managing the delivery quality of partner teams and resources as needed.
  • Organize the various project requirements into clear goals and objectives and create a work breakdown structure to manage internal and external stakeholders.

Click here to apply for Alphabet's top AI jobs.

Cloud Technical Solutions Engineer, AI/ML, Google Cloud

Location: Pune, Maharashtra, India

  • Collaborate with customers to resolve issues in production machine learning deployments to ensure production readiness, availability, and scale.
  • Manage Google Cloud customer issues through effective diagnosis, resolution, documentation, and deployment of investigation tools.
  • Gain a deep understanding of Google Cloud's AI/machine learning products/solutions and underlying architecture by troubleshooting, reproducing, and identifying root causes of customer issues.
  • Understand customer problems, advocate customer needs to internal product and engineering teams, find ways to improve products, and drive production changes.
  • Serve as a subject matter expert to internal stakeholders in engineering, sales, and customer organizations to resolve technical adoption roadblocks and improve Google Cloud. You will also be part of a team of engineers/consultants who ensure 24-hour customer support globally.

Apply here for one of the best jobs in AI

Cloud Technical Solutions Engineer, AI/ML, Google Cloud

Location: Bengaluru, Karnataka, India

  • Collaborate with customers to resolve issues and achieve production readiness, availability, and scale on production machine learning deployments.
  • Manage Google Cloud customer issues through effective diagnosis, resolution, documentation, and deployment of investigation tools.
  • Gain a deep understanding of Google Cloud's AI/machine learning products/solutions and underlying architecture by troubleshooting, reproducing, and identifying root causes of customer issues.
  • Understand customer problems, advocate customer needs to internal product and engineering teams, find ways to improve products, and drive production changes.
  • Serve as a subject matter expert to internal stakeholders in engineering, sales, and customer organizations to resolve technical adoption roadblocks and improve Google Cloud. You will also be part of a team of engineers/consultants who ensure 24-hour customer support globally.

AI Manager, Google Cloud, Delivery Center

Location: Gurugram, Haryana, India

  • We work with our customers to identify opportunities to apply machine learning to their business.
  • Leverage core Google products such as TensorFlow, DataFlow, and artificial intelligence platforms to design and implement machine learning solutions tailored to customer use cases.
  • Manage and grow a team of consultants and engineers.
  • You will collaborate with customer technology leaders, client executives and partners to manage and successfully implement cloud solutions and be a trusted advisor to decision makers throughout the life of the engagement.
  • Interact with sales, partner, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for client success. Work non-standard hours as needed.

Technical Solutions Specialist, AI/ML, Google Cloud Platform

Location: Bengaluru, Karnataka, India

  • Assist, investigate, resolve, and de-escalate Google Cloud Platform customer issues through beneficial ownership.
  • Gain a broader understanding of your Google Cloud technology implementation by identifying, reproducing, and troubleshooting possible root causes and escalating customer-reported issues.
  • Work as part of a team of specialists and engineers who provide 24-hour customer support.
  • Work shift patterns or non-standard work hours as required. This may include working weekends.

Apply here for one of the best jobs in AI

Software Engineer, Machine Learning

Location: Bengaluru, Karnataka, India

  • Design, develop, test, deploy, maintain, and improve ML models/infrastructure and software that uses these models.
  • Manage priorities, deadlines, and deliverables for individual projects.
  • Participate in cutting-edge research in artificial intelligence and machine learning applications.
  • Build libraries and frameworks to support large and complex web applications.
  • Contribute to engineering efforts from planning, organization, execution, and delivery to solve complex real-world engineering problems.

Business Systems Analyst, Machine Learning and Advanced Analytics

Location: Hyderabad, Telangana, India

  • Collaborate with cross-functional stakeholders to understand your business (processes, systems, etc.) and needs, develop strategies and roadmaps, and improve your business performance metrics/key performance indicators (KPIs) more than ever before. We realize data utilization functions that directly lead to visible improvements. time.
  • Perform analysis including data discovery, analysis, requirement gathering, and clarification with stakeholders at all levels.
  • Work with large, complex datasets and apply advanced analytical techniques as needed to solve difficult and non-routine analytical problems.
  • Use statistical analysis to inform and provide insights to stakeholders. Visually display quantitative information to make business recommendations, including cost-effectiveness, forecasting, and experimental analysis. Research and develop analytical, predictive, and enhanced methods to improve the quality of Google's enterprise services.
  • Performs analysis including data collection and requirements specification, processing, analysis, and ongoing deliverables/readouts.



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