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10 Most Demanded Job Roles in Artificial Intelligence - GeeksforGeeks A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. www.geeksforgeeks.org⁠

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search LINKEDIN.com and show me 3 profiles of people working in Generative AI... Here are three profiles of people working in Generative AI language model development found on LinkedIn: 1. [Leveraging Generative AI & Language Models for... www.perplexity.ai⁠

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consider employers hiring new graduates in the Toronto areas in the skill... Here are five companies with advertised positions in the Toronto area for AI Systems Analyst building custom generative AI language models, working with... www.perplexity.ai⁠

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prompt: write a 500 word narrative of a new graduate who got a great job building generative language models

ChatGPT

Sarah walked across the stage, her heart pounding with a mix of excitement and nerves. After years of hard work and dedication, she had finally graduated from university with a degree in computer science. As she accepted her diploma, her mind raced with possibilities for her future. She had always been fascinated by artificial intelligence and the potential it held to transform society. Little did she know, her passion would soon lead her to an incredible opportunity.

A few weeks after graduation, Sarah was scrolling through job postings when a particular listing caught her eye. It was a position at a renowned tech company specializing in natural language processing and generative language models. Her heart skipped a beat. This was the perfect opportunity to combine her love for AI and language. Without hesitation, she submitted her application and hoped for the best.

Days turned into weeks, and Sarah began to lose hope. She questioned her abilities, wondering if she was truly qualified for such a prestigious job. But just when she thought all was lost, an email notification popped up on her screen. She had been invited for an interview.

Preparations consumed her. She researched the company extensively, immersing herself in the world of generative language models and AI advancements. The day of the interview arrived, and Sarah stepped into the office with confidence, her resume in hand. The interview panel greeted her warmly, and the conversation flowed effortlessly. Sarah's passion and knowledge shone through as she discussed her ideas for pushing the boundaries of generative language models.

Weeks of anxious waiting passed, but this time, the outcome was different. Sarah received a call offering her the job. She couldn't contain her excitement. It was a dream come true. She gratefully accepted and embarked on a new chapter of her life.

As Sarah settled into her role, she found herself surrounded by brilliant minds. The team consisted of talented researchers, engineers, and linguists who shared her passion for language and AI. They welcomed her with open arms, eager to collaborate and learn from one another.

Together, they tackled the challenges of building cutting-edge generative language models. Sarah's days were filled with coding, testing, and experimenting. She dived deep into the algorithms, constantly refining and optimizing the models for maximum performance. The work was demanding but incredibly rewarding. She felt a sense of purpose and fulfillment knowing that the models she helped create would shape the future of AI-driven communication.

Months turned into years, and Sarah's reputation as a skilled AI engineer spread within the industry. She became known for her innovative ideas and her ability to push the boundaries of generative language models. Her work was featured in conferences, and she was invited to speak at prestigious events, sharing her insights and inspiring others.

Sarah's journey was not without its challenges. There were moments of self-doubt and setbacks, but she persevered, fueled by her passion and determination. She continued to learn and grow, honing her skills and staying at the forefront of AI advancements.

Today, Sarah stands as a leading expert in the field of generative language models. She has contributed to groundbreaking research and has played a significant role in shaping the future of AI-driven language processing. Her journey from a fresh graduate to a renowned AI engineer is a testament to the power of pursuing one's passions and the endless possibilities that lie within the realm of artificial intelligence. As she looks back on her remarkable journey, Sarah knows that she has only scratched the surface of what can be achieved, and she eagerly awaits the next breakthrough that will revolutionize the world of language models once again.

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make a table of the top 10 companies in Toronto hiring for new graduates in AI... Company Skills and Background Amazon ML data linguist, search science and AI, AI/ML service accel leader, AWS Sr AI/ML event mgr, global, Staff... www.perplexity.ai⁠

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make a table of the top 10 companies in Toronto hiring for new graduates in AI ML and tell me what skills and background they are looking for - present this in a tabular format

Table 1

Table 1

Rank

Company

Skills Required

Preferred Background

Google

Machine learning, deep learning, NLP, computer vision, TensorFlow, Python

Computer Science or Engineering, AI/ML specialization

IBM

Machine learning, data analysis, Python, R, Scala, SQL, cloud computing

Computer Science, Data Science, or Engineering

Amazon

Machine learning, AI algorithms, Python, Java, Scala, data pipeline management, AWS

Computer Science, AI/ML specialization

Shopify

Machine learning, data engineering, data visualization, Python, SQL, TensorFlow

Computer Science, Data Science, or Engineering

Meta (formerly Facebook)

Machine learning, AI, computer vision, NLP, deep learning, Python, PyTorch, TensorFlow

Computer Science, AI/ML specialization, or Engineering

Nvidia

Machine learning, deep learning, computer vision, C++, CUDA, TensorFlow, PyTorch

Computer Science, Engineering, or AI/ML specialization

Microsoft

Machine learning, AI, NLP, data mining, Python, Azure, Power BI

Computer Science, Data Science, or AI/ML specialization

TD Bank

Machine learning, data analysis, Python, R, SQL, data visualization, financial modeling

Finance, Data Science, or Engineering

BMO Financial Group

Machine learning, data analysis, Python, R, SQL, data visualization, financial modeling, risk management

Finance, Data Science, or Engineering

Loblaw Digital

Machine learning, Python, SQL, data engineering, data visualization, data analysis, TensorFlow, PyTorch

Computer Science, Data Science, or Engineering

There are no rows in this table

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Please note that this table is based on general skills and backgrounds typically required by these companies. Each specific job posting may require additional skills or qualifications.

prompt: pretend you are a high tech product development manager building an AI ML Business Workflow Enablement solution: Tell the top skills and qualifications you are looking or in a new graduate you going to hire : present in tabular format the names of the roles, and suggest alternate roles and skills that potential new graduates you might hire could have

Cloud Devops Specialist

Table 2

Table 2

Data Scientist

- Strong programming skills (Python, R)

Data Analyst

- Data manipulation and visualization skills (Excel, Tableau)

- Machine learning and AI algorithms knowledge

- Basic programming skills (Python, R, SQL)

- Data visualization and presentation skills

- Statistical analysis and hypothesis testing

- Degree in Computer Science, Statistics, or a related field

Machine Learning Engineer

- Proficiency in ML frameworks (TensorFlow, PyTorch)

AI Researcher

- Strong background in AI theory and research

- Strong programming skills (Python, Java, C++)

- Proficiency in programming languages (Python, Java, C++)

- Deep learning and neural networks knowledge

- Degree in Computer Science, Mathematics, or a related field

- Degree in Computer Science, Engineering, or a related field

Software Engineer

- Proficient in programming languages (Python, Java, C++, JavaScript)

Full Stack Developer

- Front-end and back-end development skills

- Solid understanding of data structures and algorithms

- Experience with web development frameworks (React, Angular, Django)

- Knowledge of software development life cycle

- Familiarity with databases and APIs

- Degree in Computer Science or a related field

Business Analyst

- Strong analytical and problem-solving skills

Product Manager

- Product development and strategy skills

- Familiarity with data analysis tools (Excel, SQL, Python)

- Strong communication and leadership skills

- Knowledge of business processes and workflow optimization

- Degree in Business Administration, Management, or a related field

UX/UI Designer

- Proficient in design tools (Sketch, Figma, Adobe XD)

Graphic Designer

- Strong visual design skills

- Understanding of user-centered design principles

- Proficient in Adobe Creative Suite (Illustrator, Photoshop, InDesign)

- Wireframing and prototyping skills

- Degree in Graphic Design, Visual Arts, or a related field

- Degree in Design, Human-Computer Interaction, or a related field

There are no rows in this table

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