Artificial Intelligence

Top 10 Undying AI Jobs in FAANG Comps During Economic Downturn

Sayantani Sanyal

These AI jobs, offered by FAANG companies are available today to be applied for

Starting from language translators, and face recognition software to chatbot assistants like Alexa and Siri, AI has made us rely on some of the most cutting-edge technologies in the modern world to make our lives efficient. The use of machine learning, artificial intelligence, robotics, and IoT is skyrocketing every day, and with it, so is the demand for efficient tech professionals. The domain of AI has expanded dramatically and the rising number of AI jobs might become quite overwhelming for aspirants. This phenomenon is especially prevalent during economic downturns. Understanding which sector of AI jobs will gain prominence in the future is crucial and yet tough at the same time. However, fast-paced technological advancement is also a crucial new trend for almost all FAANG companies and is eventually yielding several artificial intelligence jobs to tech fanatics. In this article, we have listed the top AI jobs in FAANG companies that AI aspirants should apply for today and protect themselves against the economic downturn.

Offered by: Amazon

Location: Bengaluru, Karnataka, India

As software development engineers for the Alexa AI team, the candidates will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. They will partner with scientists and other engineers to help invent, implement, and connect sophisticated algorithms to their cloud-based engines. Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns.

Offered by: Apple

Location: Bengaluru, Karnataka, India

The iPhone Operations Data Team is looking for an extraordinary machine learning engineer specializing in computer vision and deep learning to join its team. They will be responsible for crafting, designing, and implementing their machine learning strategies to the massive iPhone, Mac, and iPad supply chains and help build the future of their manufacturing systems.

Offered by: Google

Location: Bengaluru, Karnataka, India

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Its products need to handle information at a massive scale and extend well beyond web search. The department is looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, and data storage, to name a few.

Offered by: Apple

Location: Beijing, China

The team is looking for experienced data scientists or machine learning engineers with a passion for using machine learning to transform people's life by innovating on intelligent user experiences to join its Analytics and Optimizations on the Sales Analytics Team in China. As a member of this team, the candidates will be required to have a deep understanding of forecasting, machine learning, and deep learning to take on substantial technical problems.

Offered by: Google

Location: Bangalore, India

The company is looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, and natural language processing, to name a few. As a software engineers, they will work on a specific project critical to Google's needs with opportunities to switch teams and projects to help the business grow and evolve.

Offered by: Amazon

Location: CA, BC, Vancouver

As the lead software development engineer on the Amazon Recognition team, they will design and develop fast, efficient highly scalable deep learning algorithms that will be applied to challenging image video recognition problems. The engineers will also have to work with senior scientists and engineers within Amazon AI to develop high-quality software that is robust and reliable.

Offered by: Amazon

Location: CA, BC, Vancouver

The aspiring candidates will have the opportunity to influence hundreds of millions of customers globally, creating products used by thousands of companies worldwide, and contributing to the continued success and expansion of AWS. As an engineer within the AWS Business Platform, they will be part of a team of high-performing engineers. The engineers will interface with many teams across AWS including its billing, payments, and financial groups.

Offered by: Amazon

Location: US, CA, Santa Clara

As part of the Amazon team, the aspirants are expected to develop innovative solutions to hard problems, and publish their findings at peer-reviewed conferences and workshops. They will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring creative ideas into the world

 Offered by: Google

Location: Gurgaon, Haryana, India

As an AI Consultant, the candidates will work directly with Google's strategic customers on critical projects to help them transform their businesses using AI/ML technologies. They will be responsible for helping the customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies.

Offered by: Google

Location: Hyderabad, Telangana, India

The applicants will have to leverage critical thinking and problem statement definition, decomposition, and problem-solving to ensure the efforts are focused on delivering impactful and actionable outcomes. They will have to adopt and develop data engineering methodologies including, but not limited to data source and feature identification and integration, data pipelining, feature engineering, data munging, and analysis using script/code-driven methods that can translate from research to production.

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