Data Engineer (AI)

at  TALENTSIS PTE LTD

COMPANY’S PROFILE:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.
Location: Ang Mo Kio/Yio Chu Kang area

REQUIREMENTS:

• Education qualification in Computer Science, Data Science, Machine Learning or relevant field (Fresh grads/mid career transitioners from AI Singapore are welcome to apply)
• Work, project or internship experience in designing, developing, and deploying machine learning models in real-world applications will be a strong advantageKnowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• 
  Interested candidates may whatsapp your resume to 6421 4965 . Only shortlisted applicants will be contacted.
  Cassie Chan | R2197426
  Talentsis Pte Ltd | EA No: 20C031

• Design, build, and optimize machine learning models and algorithms to solve specific business problems.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance using techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
• Deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.Perform exploratory data analysis, generate insights, and present findings to stakeholders, using statistical methods and visualization techniques.