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Specialist/Senior Specialist (AI Engineer)

Mandai Wildlife Group

Singapore

On-site

SGD 50,000 - 90,000

Full time

3 days ago
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Job summary

An innovative wildlife organization is seeking a passionate Data Scientist to join their team. This role involves developing and deploying machine learning models to tackle complex business problems within a unique wildlife reserve. You'll work in a collaborative environment, utilizing AIOps and MLOps frameworks while engaging with cross-functional teams to create impactful AI solutions. If you're eager to apply your analytical skills in a meaningful setting that connects visitors with nature, this opportunity is perfect for you.

Qualifications

  • 1-2+ years experience in AI, data science, or machine learning.
  • Strong programming skills in Python with data science libraries.

Responsibilities

  • Develop and deploy AI models and machine learning systems.
  • Collaborate with teams to integrate AI solutions.

Skills

Python
Machine Learning
Data Science
Problem Solving
Collaboration
Data Engineering

Education

Bachelor's degree in Information Technology
Bachelor's degree in Computer Science
Bachelor's degree in Data Science
Bachelor's degree in Statistics

Tools

MLflow
Kubeflow

Job description

Mandai Wildlife Group is the steward of Mandai Wildlife Reserve, a unique wildlife and nature destination in Singapore that is home to world-renowned wildlife parks connecting visitors to the fascinating world of wildlife. The Group is driving an exciting rejuvenation plan at Mandai Wildlife Reserve, adjacent to Singapore’s Central Catchment Nature Reserve, which will integrate five wildlife parks with distinctive nature-based experiences, green public spaces, and an eco-friendly resort.

Job Duties and Responsibilities:

Reporting to the Data Science Lead, you will be responsible for the end-to-end development and deployment of machine learning models to solve complex business problems. The role requires understanding and application of AIOps/MLOps/DataOps frameworks, machine learning algorithms, and software development skills. The ideal candidate will have a passion for problem solving, a strong analytics mindset, and the ability to work collaboratively with cross-functional teams.

  1. Design, develop, test, and deploy AI models and machine learning systems, including prototypes and proof-of-concept projects.
  2. Monitor, maintain, and optimize deployed AI systems.
  3. Collaborate with cross-functional teams and stakeholders such as business users, data scientists, software developers, and infrastructure engineers to develop and/or integrate AI solutions.
  4. Develop and monitor data collection and annotation efforts to ensure high-quality data for model training, evaluation, and drift detection.
  5. Document development processes and contribute to existing knowledge bases and educational content.

Job Requirements:

  1. Bachelor’s degree or higher in Information Technology, Computer Science, Data Science, Statistics, or relevant disciplines.
  2. 1 to 2+ years of experience in AI, data science, machine learning, data engineering, or similar roles. Fresh graduates are welcome to apply.
  3. Strong programming skills, preferably in Python, with experience in data science and machine learning libraries and frameworks.
  4. Experience in engineering AI/ML solutions on cloud platforms.
  5. Experience with MLOps frameworks such as MLflow and Kubeflow.
  6. Experience in developing prototypes and rapid experimentation in a fast-paced, agile environment.
  7. Strong analytical and problem-solving skills, with the ability to work with complex and unstructured data.
  8. Excellent team collaboration and communication skills.
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