AI/Machine Learning Engineer

Machine Learning
In-Person
AI

Description For AI/Machine Learning Engineer

Talentsis is seeking an AI/Machine Learning Engineer to join their team in Singapore. This role offers an exciting opportunity to work on cutting-edge AI applications and machine learning solutions. The position involves designing and implementing sophisticated machine learning models for various applications including predictive analytics, natural language processing, and computer vision.

The ideal candidate will be responsible for the entire ML lifecycle, from data collection and preprocessing to model deployment and monitoring. You'll work with large datasets, perform exploratory data analysis, and implement state-of-the-art algorithms to create efficient and scalable solutions. The role requires strong technical expertise in machine learning frameworks and programming languages, particularly Python, along with experience in big data tools and cloud platforms.

As part of the team, you'll collaborate closely with software developers, data scientists, and product teams to integrate AI solutions into existing systems. The position demands both technical excellence and strong communication skills, as you'll be expected to translate complex technical concepts for non-technical stakeholders.

This role is perfect for someone who is passionate about AI/ML technology and wants to work in a dynamic environment where they can make a significant impact. You'll have the opportunity to stay at the forefront of AI advancement, experiment with emerging tools and frameworks, and contribute to developing responsible AI solutions that align with ethical principles.

The position offers hands-on experience with modern MLOps practices and tools, making it an excellent opportunity for those looking to grow their career in the AI/ML field. If you're someone who combines strong technical skills with collaborative abilities and has a keen interest in pushing the boundaries of AI technology, this role at Talentsis could be your next career step.

Last updated 3 months ago

Responsibilities For AI/Machine Learning Engineer

  • Design, train, and fine-tune machine learning models for predictive analytics, natural language processing, computer vision, or other AI applications
  • Deploy ML models in production environments and monitor their performance
  • Collect, clean, and preprocess large datasets to build high-quality AI/ML models
  • Perform exploratory data analysis (EDA) to uncover insights and identify patterns
  • Research and implement state-of-the-art algorithms and techniques
  • Optimize model performance for real-time applications
  • Collaborate with software developers and product teams
  • Design APIs and pipelines for AI model integration
  • Stay updated with the latest trends in AI/ML technology
  • Work closely with data scientists, engineers, and stakeholders
  • Communicate technical concepts to non-technical stakeholders

Requirements For AI/Machine Learning Engineer

Python
  • Strong programming skills in Python, R, or Java
  • Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Knowledge of big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure)
  • Proficiency in supervised and unsupervised learning techniques
  • Familiarity with NLP and computer vision technologies
  • Strong mathematical foundation in linear algebra, statistics, and probability
  • Excellent teamwork and project management skills
  • Experience with MLOps tools and workflows
  • Understanding of ethical AI principles

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