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Technologies like machine learning, artificial intelligence, and big data are gaining lots of traction. A lucrative career in artificial intelligence— is a dream of every aspiring AI professional. There is a huge demand for different AI jobs. Tech companies like Meta, Alphabet Inc., are looking for skilled artificial intelligence professionals to leverage the most advanced technologies in the world and yield the best possible results. Artificial intelligence has grown five-fold in the past couple of years. With the emergence of new technologies, more tech professionals are getting attracted to AI careers. Alphabet Inc. is an American multinational technology and the parent company of Google and several former Google subsidiaries. This article features the best AI jobs in Alphabet to apply for in April 2022.
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Location: Gurugram, Haryana, India
Responsibilities:
Deliver effective big data and machine learning solutions and solve complex technical customer challenges.
Act as a trusted technical advisor to Google's most strategic customers.
Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with Product Managers and Engineers to influence the roadmap of the Google Cloud Platform.
Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.
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Location: Gurugram, Haryana, India
Responsibilities:
Interact with internal technical stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and consulting services.
Engage with C-suite executives, technical leads, and partners to lead high-velocity migrations to GCP.
Create communication strategies, risk, and issue management frameworks, status reports, project matrix, and track timelines.
Specialize in the program management and orchestration of large-scale cloud engagements, and manage the delivery quality of the partner teams and resources as and when needed.
Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.
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Location: Pune, Maharashtra, India
Responsibilities:
Work with customers on production Machine Learning deployments to resolve issues and achieve production readiness, availability, and scale.
Manage issues of Google Cloud customers through effective diagnosis, resolution, documentation, or implementation of investigation tools.
Develop an in-depth understanding of Google Cloud's AI/Machine Learning products/solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer issues.
Understand customer issues, advocate for their needs with internal Product and Engineering teams, find ways to improve the product, and drive production changes.
Act as subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles to improve Google Cloud, and be part of a team of engineers/consultants that globally ensure 24-hour customer support.
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Location: Bengaluru, Karnataka, India
Responsibilities:
Work with customers on their production Machine Learning deployments to resolve issues and achieve production readiness, availability, and scale.
Manage issues of Google Cloud customers through effective diagnosis, resolution, documentation, or implementation of investigation tools.
Develop an in-depth understanding of Google Cloud's AI/Machine Learning products/solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer issues.
Understand customer issues, advocate for their needs with internal Product and Engineering teams, find ways to improve the product, and drive production changes.
Act as subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles to improve Google Cloud, and be part of a team of engineers/consultants that globally ensure 24-hour customer support.
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Location: Gurugram, Haryana, India
Responsibilities:
Work with customers to identify opportunities to apply machine learning in their business.
Design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Artificial Intelligence Platform.
Manage and grow a team of consultants and engineers.
Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision-makers throughout the engagement.
Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Work non-standard hours as needed.
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Location: Bengaluru, Karnataka, India
Responsibilities:
Assist, research, resolve, and de-escalate Google Cloud Platform customer issues through effective ownership.
Develop a broad understanding of a customer's implementation of Google Cloud technology by reviewing, reproducing, troubleshooting possible root causes, or escalating customer reported issues.
Work as part of a team of specialists and engineers that provide 24-hour customer support.
Work in a shift pattern or non-standard work hours as required, this may include weekend work.
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Location: Bengaluru, Karnataka, India
Responsibilities:
Design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models.
Manage individual project priorities, deadlines, and deliverables.
Participate in cutting-edge research in artificial intelligence and machine learning applications.
Build the libraries and frameworks that support large, complex web applications.
Contribute to engineering efforts from planning and organization to execution and delivery to solve complex, real-world engineering problems.
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Location: Hyderabad, Telangana, India
Responsibilities:
Collaborate with cross-functional stakeholders to understand their business (processes, systems, etc.), needs, and formulate strategies and roadmaps to enable data-leveraged capabilities that directly lead to measurable improvement in business performance metrics/key performance indicators (KPIs) over time.
Conduct analysis that includes data discovery, analysis, requirements gathering, and clarification with stakeholders at all levels.
Work with large, complex datasets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
Use statistical analysis to create and deliver insights to stakeholders. Make business recommendations (e.g., cost-benefit, forecasting, and experiment analysis) through visual displays of quantitative information. Research and develop analysis, forecasting, and enhancement methods to improve the quality of Google's enterprise services.
Conduct analysis that includes data gathering and requirements specification, processing, analysis, and ongoing deliverables/readouts.
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