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Job Overview of AI Engineer

Artificial intelligence engineers create and build methods and systems for artificial intelligence. AI engineers develop models with the ability to evaluate information, forecast outcomes, and carry out tasks automatically. AI Engineers advance software capabilities and contribute to creative solutions for a range of applications by developing machine learning technology.

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Position

AI Engineer

Department

Artificial Intelligence Jobs - AI Engineer

Skills Required

Artificial Intelligence

Experience Required

2 years - 6 years

Educational Qualification(s) Required

BE / ME (CS / IT) or equivalent


Overview of Job

We are seeking a skilled and passionate AI Engineer with 2 to 6 years of experience to join our innovative team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning technologies. You will work on building intelligent systems and solutions that drive business outcomes, ranging from predictive models to real-time AI-driven applications.

Duties & Responsibilities

  • Design, develop, and implement AI/ML algorithms and models to solve business challenges.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
  • Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
  • Develop data pipelines and preprocessing methods for model training and deployment.
  • Monitor, evaluate, and improve the performance of AI models and systems.
  • Conduct experiments to validate hypotheses and enhance AI system capabilities.
  • Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
  • Create technical documentation for AI models and workflows.

Required Skills & Qualifications

  • Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Proficiency in programming languages like Python, R, or Java.
  • Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
  • Strong understanding of data structures, algorithms, and statistics.
  • Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
  • Knowledge of MLOps tools and practices for model deployment and monitoring.
  • Ability to work with large datasets and build scalable AI solutions.
  • Strong problem-solving and critical-thinking skills.
  • Excellent communication and collaboration skills.
  • Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
  • Exposure to big data technologies (e.g., Hadoop, Spark).
  • Knowledge of model interpretability and explainability methods.

Work Location

Singapore

Working Model

Work from Office.

You should be open to working on-site at our locations or client sites. Remote work may be available - apply now and check with the recruiter.

Apply from Locations

Singapore, Singapore



FAQ For AI Engineer

What qualifications do I need to apply for an AI Engineer role in Singapore?

To apply for an AI Engineer role in Singapore, you typically need a bachelor's degree in computer science, data science or a related field, or a master's degree is often preferred. Essential technical skills include strong programming abilities in languages like Python, Java, or R. Familiarity with machine learning frameworks such as TensorFlow or PyTorch is highly beneficial. Additionally, certifications in AI or related areas can enhance your application and demonstrate your commitment to the field. Apart from these educational qualifications, you need to have 2+ years of prior working experience in AI, ML and other technical fields.

What soft skills are important to apply for an AI Engineer role in Singapore?

As an AI Engineer in Singapore, soft skills become crucial. Effective communication is important for explaining complex technical concepts to non-technical stakeholders. Collaboration skills are also important, as you'll frequently work within multidisciplinary teams. Developing such skills clearly may serve to improve your performance and be beneficial for project completion in the uncertain IT setting.

How much salary can I expect as an AI Engineer in Singapore?

As an AI Engineer with 2+ years of experience working in Singapore can earn between SGD 65,000* to SGD 90,000* per annum, depending on the industry and the size of the company. Other things that can cause variation in the paying capacity within these expanding sectors include factors such as certain special skills*, certification* and project difficulty*.

What are the roles and responsibilities of an AI Engineer in Singapore?

The typical roles and responsibilities of an AI Engineer in Singapore are that you design and build AI models, analyze data and design algorithms which solve problems. The organization requires you to work with other teams to incorporate the solutions within functional designs and frameworks. Besides, it means you will be expected to take charge of AI application performance and ensuring that AI programs work correctly and to perform tests on models as well as keeping track of new developments in available AI technologies.

What growth opportunities exist for AI Engineers in Singapore?

There are so many opportunities for AI Engineers in Singapore, you can grow up to be an AI Architect or Data Scientist. Depending upon the field there are also possibilities to become management level where you can manage projects and people like Team Lead or even Project Manager. Further it is an opportunity to enter new projects and cooperate with other AI laboratories or companies, which is valuable for your experience and promotion.

What skills are most important for success as an AI Engineer in Singapore?

As an AI Engineer in Singapore, you have to focus on mastering programming with languages such as Python and Java and or machine learning frameworks like TensorFlow or PyTorch, among others. You should have knowledge of using general data analysis and statistical tools is required in order to analyze results. Also critical thinking and problem solving skills are necessary in solving various issues. Effective communication and cooperation skills are also necessary for collaboration in the cross-functional team and for explaining technical information to the non-professionals.

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