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Artificial Intelligence engineer job description template

An Artificial Intelligence engineer develops intelligent algorithms that help us learn, analyze, and anticipate future events. AI developers are responsible for creating machines with reasoning abilities similar to the human brain. At Turing, we not only help businesses build the perfect Artificial Intelligence engineer job description but also offer Silicon Valley-caliber AI engineers on-demand.

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Artificial Intelligence engineers are in high demand across industries. A clear and comprehensive job description helps you get the attention of the best AI engineers for your organization. An AI engineer is exclusively skilled in engineering and computer science and builds machines and software programs that can learn and analyze for themselves. AI specialists use AI principles to direct steadfast business pain points, increase the ability of technical and human resources, execute alternative management/transformation processes, etc. They use emerging technologies, like ML and NLP, to determine business obstacles and deliver comprehensive insights with accuracy. Companies that look to hire expert AI specialists or engineers need to have a detailed Artificial Intelligence engineer job description template to attract top professionals from across the world.

Company description (3-4 lines)

Add an informative yet short and crisp introduction about your company, work culture, and unique selling propositions. Make the prospective candidates have a clear idea about your organization and the plus points in joining the proposed position.

Sample:

We are an equal opportunity employer and value diversity at our company in order to accomplish success as a global business. We offer a collaborative work environment and aim to hire and retain the top talents from across the globe. As one of the fastest-growing companies in (place), we have various career opportunities for exceptionally skilled developers, programmers, or engineers.

Artificial Intelligence engineer job description (4-5 lines)

Mention your specific requirements along with the tasks that the successful candidate will have to do after joining your organization. A crisp and clear list of the objectives will help the candidates know what to expect from this job opportunity.

Sample:

We are looking for an experienced AI engineer to join our multidisciplinary team to help in shaping our AI strategy and showcasing the potential for AI through early-stage solutions. The potential candidates must have proven expertise in using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help the internal teams promote diverse business outcomes and drive innovation.

Artificial Intelligence engineer job responsibilities (5-8 bullet points)

This section is quite crucial and you must be very specific while preparing the list of the major job responsibilities. List all the points that you want the candidates to fulfill if they are selected and join your organization.

Sample:

  • Understand the company’s goals and challenges and plan AI strategies
  • Conduct research and development processes for AI strategies
  • Collaborate with cross-functional teams to identify areas where AI application can stimulate business growth
  • Develop an efficient prototype
  • Perform recurring jobs, like AI strategy assessment, automation market, etc.
  • Perform tests and troubleshoot issues before final delivery
  • Stay up-to-date on the latest AI emergences relevant to the business domain

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Required skills for Artificial Intelligence engineers (6-8 bullet points)

In this section mention whatever academic and professional qualifications and technical skills, the candidate needs to have to be eligible for this role.

Sample:

  • Bachelor’s/Master’s degree in computer science, computer engineering, or relevant field
  • At least 3-5+ years (//edit according to your requirements) of experience in formulating and strategizing AI solutions
  • Proven experience in applying AI to practical and all-inclusive technology solutions
  • Hands-on knowledge in machine learning, deep learning, Tensorflow, Python, NLP
  • Understanding of functional design principles, object-oriented programming principles, basic algorithms
  • Expertise in REST API development, NoSQL design, RDBMS design
  • //Add more details according to your requirements

Preferred skills for Artificial Intelligence engineers (5-8 bullet points)

If you have any additional skills/requirements or preferences that you expect from the candidate, list them down in this optional section.

Sample:

  • Knowledge of innovation accelerators
  • Familiarity with Cloud environments
  • A rigorous, analytical, and creative mind
  • Unwavering interest in mathematics and statistics
  • Good communication and interpersonal skills
  • Any professional certifications //if required

Benefits and perks for Artificial Intelligence engineers

Any top-level candidate willing to join your company will look forward to having some exciting employee benefits. So, to add more value to your job offer, list down all the additional benefits and perks that a candidate will get once they join your company.

Sample:

  • Career & growth opportunities
  • Better compensation for Artificial Intelligence engineers
  • Medical insurance
  • Incentive

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Turing’s automated seniority assessment test, algorithm coding interview, and automated vetting flow help companies hire remote engineers in a matter of days. Turing’s Intelligent Talent Cloud matches most companies with developers within 3 days.

Turing has created the first and only Intelligent Talent Cloud to vet remote developers for a Silicon Valley bar. Turing tests developers based upon actual skills vs. self-reported experience from traditional resumes or job interviews. Every developer at Turing has to clear our tests for programming languages, data structures, algorithms, system designs, software specialization, frameworks, and more. Each Turing developer goes through our automated seniority assessment test comprising 57 calibrated questions in 5 areas — project impact, engineering excellence, communication, people, and direction.

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