x
Get our mobile app
Fast & easy access to Jobstore
Use App
Congratulations!
You just received a job recommendation!
check it out now
Browse Jobs
Companies
Campus Hiring
Download App
Jobs in Singapore   »   Jobs in Singapore   »   Engineering Job   »   Senior AI Engineer (Permanent role)
 banner picture 1  banner picture 2  banner picture 3

Senior AI Engineer (Permanent role)

Talentsis Pte. Ltd.

Talentsis Pte. Ltd. company logo

Job Responsibilities:

  • Develop and deploy machine learning models: Design, build, optimize, and deploy machine learning models to address business challenges.
  • Collaborate with cross-functional teams to define objectives and integrate models into production systems.
  • Model training and evaluation: Train and fine-tune models using advanced algorithms, ensuring optimal performance through techniques like cross-validation and hyperparameter optimization.
  • Model deployment and integration: Work with software engineers and DevOps to deploy models, implement APIs, and integrate solutions into existing applications for real-time decision-making.
  • Performance monitoring and maintenance: Continuously monitor, refine, and enhance model performance, addressing anomalies and incorporating user feedback.
  • Data analysis and insights: Conduct exploratory data analysis, generate insights, and present findings using statistical and visualization techniques.
  • Stay up-to-date with the latest advancements: Stay updated with advancements in machine learning and AI, recommending tools and methodologies to improve workflows.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or equivalent experience.
  • Minimum 2 years’ experience in a similar role, with hands-on expertise in designing, developing, and deploying machine learning models.
  • Strong knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with Large Language Models and Generative AI is a plus.

Technical skills:

  • Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Strong foundation in statistical analysis, probability, and hypothesis testing.
  • Familiarity with cloud-based machine learning tools (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.
  • Analytical mindset with the ability to solve complex problems and develop innovative solutions.
  • Excellent communication skills for conveying technical concepts to diverse audiences.
  • Proven teamwork and multitasking capabilities.
  • Adaptable and committed to continuous learning, with a focus on staying updated on advancements in machine learning and AI.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

Sharing is Caring

Know others who would be interested in this job?