AI Engineer Job Description

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Job Brief

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We are seeking for AI (Artificial Intelligence) engineers to work with us! In this role, you would create and use artificial intelligence (AI) within projects. You should be well-versed in algorithms that can evolve and grow into other processes.

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Additionally, you would be expected to know about data science fundamentals and programming languages, such as Python and C++, to develop software solutions that satisfy project specifications and match the demand for artificial intelligence applications. Your tasks will also include the creation of new models and algorithms to address issues in collaboration with other team members of software engineers, data scientists, and other professionals.

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Roles and Responsibilities

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• Develop AI strategies through research and development methods.
• Work with cross-functional teams to highlight areas where using AI may promote corporate success.
• Build an effective prototype.
• Perform tests and troubleshoot issues before the final delivery.
• Keep up with the most recent advancements in artificial intelligence that affect the corporate sector.
• Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy.
• Identify the problems your business and clients are experiencing and how incorporating AI skills might assist in finding solutions.
• When analyzing and explaining AI and machine learning (ML) solutions, set and maintain excellent ethical standards.
• Advising corporate leaders and C-suite executives on a variety of technical, strategy, and policy challenges relating to AI
• Work on functional design, process design (scenario design and flow mapping), prototyping, training, and creating support processes.
• Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation.
• Serve as liaison between stakeholders and project teams, providing input and helping team members to make the required adjustments to the product's performance or presentation.

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Requirements and Skills

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• B.Tech (Bachelor of Technology) degrees in computer science engineering, artificial intelligence, or a related field are necessary.
• Knowledge of AI's most widely used programming languages, including Python, Java, C++, and R.
• Deep understanding of statistical and algorithmic models as well as fundamental mathematical concepts like probability and linear algebra
• Familiarity with building effective programs that can quickly analyze massive data streams and working with large data sets
• Employment of well-known AI/ML frameworks, familiarity with deep learning and machine learning techniques
• Proven experience in applying AI to practical and all-inclusive technology solutions
• Hands-on experience in deep learning, Python, Tensorflow, and machine learning
• A better understanding of fundamental algorithms, functional design ideas, and object-oriented programming principle
• Experience in designing NoSQL databases, designing RDBMSs, and developing REST APIs
• Knowledge of TensorFlow, PyTorch, and Keras, three popular AI programming frameworks.
• Expertise in data analysis and visualization programs like Matplotlib, Power BI, and Tableau.
• Abilities work on computer vision (CV) and natural language processing (NLP).
• Knowledge of deep learning frameworks such as recurrent and convolutional neural networks (RNNs).
• Good organizational, analytical, and communication skills are needed.
• Ability to function both individually and as a team

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Average Salary

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The salary of an AI Engineer varies depending on the experience, geographical region, and organization. An AI Engineer's average salary in the United States is nearly $1,20,119 per year. In the United Kingdom, AI Engineer earns nearly £56,705 per year, almost close to 10 Lakhs in India. 

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Common AI Engineer Job Titles

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The most common careers in AI engineering include the following roles.

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• AI Solutions Architect: Responsible for the development and implementation of AI strategies and solutions for businesses.

• AI Developer: Liable for building AI applications and using programming languages such as Java, Python, and C++ to code algorithms and models that power AI solutions.

• Machine Learning Engineer: They are responsible for designing and developing algorithms, writing software, and building AI models.

• Data Scientist: Responsible for analyzing data to uncover trends and insights and building models and predictive algorithms.

• Natural Language Processing Engineer: They build systems that enable machines to understand and respond to human language.

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Assessing AI Engineer skills is an excellent way of identifying and shortlisting skill-fit candidates early in the hiring process. It helps to determine candidates' proficiency in programming languages, algorithms, and frameworks relevant to AI. In fact, by utilizing Artificial Intelligence Test, you can effectively assess skills such as the ability to design, implement, and evaluate AI models for various real-world applications, ensuring a well-rounded assessment of their capabilities.